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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. 9-RES-JB
    11. 15744
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    Explanations

    phrases related to consequences or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    referring expressions that highlight a consequence or result of some action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andon
    -0.85
    mares
    -0.83
    rences
    -0.83
    NetMessage
    -0.82
    bots
    -0.78
    oots
    -0.77
    DEV
    -0.77
    ople
    -0.75
    events
    -0.74
    uden
    -0.73
    POSITIVE LOGITS
     result
    1.58
     consequence
    1.47
     reminder
    1.32
     testament
    1.14
     precaution
    1.12
     matter
    1.08
     bonus
    1.04
     consolation
    1.02
     footnote
    1.02
     refres
    0.98
    Activations Density 0.046%

    No Known Activations