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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. 24372
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    Explanations

    not applicable, as there are no non-zero activations for neuron 4

    oai_token-act-pair · gpt-3.5-turbo

    instances of special characters or symbols

    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
     Ern
    -0.71
    wagen
    -0.70
     Bengal
    -0.69
     Marble
    -0.68
     Mirage
    -0.68
    kef
    -0.67
    creen
    -0.65
     Samar
    -0.65
    esville
    -0.64
     guiActiveUnfocused
    -0.63
    POSITIVE LOGITS
    ł
    1.20
    ¹
    1.01
    ı
    0.95
    ķ
    0.94
    ij
    0.93
    Ĵ
    0.93
    IJ
    0.89
    ª
    0.88
    Ķ
    0.88
    ĵ
    0.84
    Activations Density 0.134%

    No Known Activations