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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. 4-RES-JB
    11. 3990
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    Explanations

    names and possibly surnames starting with "Ram-" and "Rams-" or variations thereof

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals frequently mentioned in the text

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

    No Comments

    Negative Logits
    ensable
    -0.82
    rees
    -0.79
    reek
    -0.76
    sheet
    -0.72
    rium
    -0.69
    ensed
    -0.68
    ensing
    -0.68
    piring
    -0.66
    aneers
    -0.66
    awar
    -0.61
    POSITIVE LOGITS
    irez
    0.90
    hyde
    0.88
     Ramsey
    0.85
    esses
    0.74
    quez
    0.73
    seys
    0.73
     Bolton
    0.71
    gaard
    0.70
    ette
    0.67
    pton
    0.67
    Activations Density 0.010%

    No Known Activations