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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. 7-RES-JB
    11. 5070
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    INDEX
    Explanations

    phrases indicating possibility or potential actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express potential or hypothetical actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bound
    -0.74
    core
    -0.71
    members
    -0.68
    posts
    -0.66
    slow
    -0.65
    Maker
    -0.64
    teen
    -0.64
    achable
    -0.63
    holder
    -0.60
     honors
    -0.59
    POSITIVE LOGITS
     feas
    1.26
     conce
    1.07
     theoretically
    1.03
     hypot
    1.02
    ivably
    0.96
     possibly
    0.90
    've
    0.88
     argue
    0.84
     imagine
    0.81
     foresee
    0.81
    Activations Density 0.091%

    No Known Activations