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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. 12437
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    Explanations

    references to specific quantities or numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical quantities or numerical data

    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
    rador
    -0.83
    umenthal
    -0.74
    Interstitial
    -0.73
    clair
    -0.72
    merce
    -0.65
    endon
    -0.64
     Shroud
    -0.63
    axter
    -0.63
    INTON
    -0.62
     Passage
    -0.62
    POSITIVE LOGITS
    number
    0.93
     numbers
    0.89
     number
    0.88
     Numbers
    0.83
    plates
    0.80
    naires
    0.79
     666
    0.78
    enance
    0.75
    NUM
    0.75
    esses
    0.74
    Activations Density 0.040%

    No Known Activations