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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. 6-RES-JB
    11. 20708
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    Explanations

    proper nouns, particularly names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    names of people and entities, particularly those with the surname Wheeler

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eatures
    -0.96
    arij
    -0.83
    spring
    -0.82
    ceed
    -0.79
     Crusader
    -0.78
    enne
    -0.77
    orian
    -0.77
    ees
    -0.77
    raising
    -0.77
    ilial
    -0.77
    POSITIVE LOGITS
    \\\\\\\\
    0.77
     Wheeler
    0.76
     overload
    0.70
     Sisters
    0.68
     Bros
    0.67
    boro
    0.66
    witz
    0.66
    Merit
    0.65
    BUR
    0.65
    Wheel
    0.64
    Activations Density 0.044%

    No Known Activations