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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. 3206
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    Explanations

    words related to animals, particularly large mammals and reptiles

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of animals, particularly bears and tigers

    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
     Policies
    -0.79
    åĬ
    -0.76
    dL
    -0.73
    §
    -0.72
     Statements
    -0.72
    ettings
    -0.72
    ij士
    -0.71
    Ô
    -0.71
     Reps
    -0.71
    rences
    -0.69
    POSITIVE LOGITS
     carc
    1.10
     beetle
    1.05
     corpse
    1.00
     mascot
    0.98
     pup
    0.98
     statue
    0.96
     skeleton
    0.96
     calf
    0.94
    frog
    0.94
     cub
    0.92
    Activations Density 0.227%

    No Known Activations