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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. 3-RES-JB
    11. 22997
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    INDEX
    Explanations

    phrases related to sporting events, particularly hockey

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Calder" related to achievements or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.78
     Reverend
    -0.77
     Gutenberg
    -0.70
     Invisible
    -0.66
    estyles
    -0.66
    ciating
    -0.66
     Staten
    -0.64
     Bermuda
    -0.63
    yright
    -0.62
     Honolulu
    -0.61
    POSITIVE LOGITS
     Calder
    1.06
    ón
    1.02
    pine
    0.81
    mont
    0.80
    kson
    0.76
    flies
    0.75
    anche
    0.74
    oqu
    0.74
    pheus
    0.73
    onite
    0.73
    Activations Density 0.008%

    No Known Activations