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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. 8-RES-JB
    11. 10886
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    INDEX
    Explanations

    words related to impactful actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating consequences or effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onica
    -0.73
    awed
    -0.68
    omb
    -0.67
     Cree
    -0.66
     Bengal
    -0.66
     RTX
    -0.66
    OTS
    -0.65
    english
    -0.65
    heard
    -0.64
     è£ıè
    -0.63
    POSITIVE LOGITS
     prevents
    1.09
     eliminates
    1.08
     facilitates
    1.06
     promotes
    1.04
     undermines
    1.04
     undermine
    1.03
     allows
    1.03
     facilitate
    1.03
     provides
    1.02
     enhances
    1.02
    Activations Density 0.467%

    No Known Activations