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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 24205
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    Explanations

    verbs related to planning or decision-making

    oai_token-act-pair · gpt-3.5-turbo

    action-oriented verbs related to decision-making and creation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.97
     supposedly
    -0.67
     guiActiveUnfocused
    -0.59
     supposed
    -0.56
     preceding
    -0.56
     allegedly
    -0.56
    >>\
    -0.55
    Must
    -0.55
    attering
    -0.53
     whim
    -0.53
    POSITIVE LOGITS
    uate
    0.96
    ulate
    0.77
    escription
    0.75
    igate
    0.74
    ilial
    0.73
     oneself
    0.73
     clarification
    0.73
     ourselves
    0.70
    oshop
    0.69
     FANTASY
    0.69
    Activations Density 0.597%

    No Known Activations