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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. 12129
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    Explanations

    ways or methods of doing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe methods or approaches

    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
    oute
    -0.72
    avorite
    -0.69
    inently
    -0.68
    rament
    -0.67
     reload
    -0.66
     bluff
    -0.63
     Fishing
    -0.62
    inally
    -0.62
    anmar
    -0.62
    itialized
    -0.62
    POSITIVE LOGITS
    WARD
    0.78
    finding
    0.77
    ward
    0.72
     Affect
    0.71
    fare
    0.70
     resembling
    0.69
     reminiscent
    0.69
    hered
    0.68
     resembles
    0.67
    sid
    0.66
    Activations Density 0.036%

    No Known Activations