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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. 1-RES-JB
    11. 2522
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    Explanations

    words related to specific character names or entities, such as "Bunny" and "Scully."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific characters or creatures, particularly bunnies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammed
    -0.72
     Pis
    -0.68
     Outs
    -0.68
    rait
    -0.66
    ratulations
    -0.65
     Opportunity
    -0.65
     Loans
    -0.64
    ications
    -0.64
     Aram
    -0.64
    umbn
    -0.64
    POSITIVE LOGITS
    lde
    0.80
    ãĥ£
    0.78
     flora
    0.77
    lean
    0.74
    comfort
    0.73
    foot
    0.73
    sound
    0.69
     populated
    0.69
     corrid
    0.67
    ttle
    0.66
    Activations Density 0.025%

    No Known Activations