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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. 2649
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    Explanations

    words related to specific scientific institutions like CERN and HC

    oai_token-act-pair · gpt-3.5-turbo

    acronyms and proper nouns related to scientific or geographical entities

    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
    corn
    -0.77
    fly
    -0.73
    flies
    -0.73
    manent
    -0.71
    bats
    -0.71
     Khe
    -0.69
    OUT
    -0.69
    outs
    -0.68
    gets
    -0.67
    served
    -0.66
    POSITIVE LOGITS
    essor
    0.88
    ère
    0.86
    naire
    0.81
    arium
    0.81
    ysis
    0.78
    ERN
    0.78
    arius
    0.77
    ichick
    0.76
    algia
    0.75
    £ı
    0.73
    Activations Density 0.026%

    No Known Activations