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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. 2583
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    Explanations

    phrases related to social issues, struggles, and challenges faced by individuals

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

    instances of actions or intents related to assistance or improvement

    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
    EStream
    -0.98
     teasp
    -0.97
    senal
    -0.85
    arnaev
    -0.80
     practition
    -0.80
    osate
    -0.79
    ò
    -0.79
    Þ
    -0.77
    UA
    -0.77
    InstoreAndOnline
    -0.76
    POSITIVE LOGITS
     cope
    1.33
     survive
    1.22
     navigate
    1.17
     rebuild
    1.14
     reconnect
    1.09
     regain
    1.07
     alleviate
    1.06
     relocate
    1.05
     reun
    1.05
     reconcile
    1.04
    Activations Density 0.280%

    No Known Activations