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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. 1010
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    INDEX
    Explanations

    names of events or gatherings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a "lineup" in various contexts

    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
    nai
    -0.92
    birth
    -0.84
    imb
    -0.80
    versely
    -0.71
    bara
    -0.70
    rir
    -0.68
    ilit
    -0.68
    ricular
    -0.68
    hig
    -0.67
     paternal
    -0.66
    POSITIVE LOGITS
     lineup
    1.02
     XI
    0.86
    aurus
    0.72
    selection
    0.71
    ttes
    0.68
     swaps
    0.67
     XV
    0.67
    olicy
    0.66
     favourites
    0.66
     scrimmage
    0.65
    Activations Density 0.010%

    No Known Activations