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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 12-RES-JB
    11. 3781
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    Explanations

    phrases related to psychology and mental health, particularly focusing on depression and coping mechanisms

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references and discussions related to mental health, particularly focusing on depression and its effects on individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.84
    Magikarp
    -0.83
    ãĤ½
    -0.83
    accompan
    -0.81
     millenn
    -0.81
     tradem
    -0.81
    ãĥ¼ãĥĨãĤ£
    -0.79
    ãĤ¬
    -0.78
    ¿½
    -0.78
    ò
    -0.77
    POSITIVE LOGITS
     perceive
    1.39
     unconsciously
    1.30
     exhibit
    1.17
     overest
    1.15
     behave
    1.13
     respond
    1.11
     crave
    1.10
     react
    1.10
     subconscious
    1.08
     perce
    1.06
    Activations Density 0.291%

    No Known Activations