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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. 11-RES-JB
    11. 5824
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    Explanations

    words related to emotions and feelings, particularly negative emotions like frustration, exhaustion, and irritability

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to emotional struggles and mental fatigue

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    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_pre
    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
    imum
    -0.86
     Logo
    -0.75
     GOODMAN
    -0.73
    omi
    -0.73
    idth
    -0.72
    isSpecialOrderable
    -0.72
    inelli
    -0.72
    acters
    -0.71
     Details
    -0.71
     Protocol
    -0.71
    POSITIVE LOGITS
     depressed
    1.51
     anxious
    1.47
     frustrated
    1.44
     exhausted
    1.42
     hungry
    1.41
     thirsty
    1.41
     confused
    1.41
     frightened
    1.40
     bored
    1.40
     restless
    1.39
    Activations Density 0.206%

    No Known Activations