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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. 17837
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    INDEX
    Explanations

    mentions of specific names or terms

    oai_token-act-pair · gpt-3.5-turbo

    specific names or symbols related to individuals or events in a contextual narrative

    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
     caul
    -0.84
    aunder
    -0.81
     ILCS
    -0.81
    raints
    -0.80
    iff
    -0.77
    acular
    -0.76
    ESS
    -0.75
    masters
    -0.75
    ific
    -0.73
    inch
    -0.73
    POSITIVE LOGITS
     Ãľ
    1.01
     Ãĸ
    0.97
    senal
    0.87
    ħĭ
    0.85
    conom
    0.82
    nder
    0.80
    yip
    0.80
    hler
    0.79
    ãĥŃ
    0.76
    sson
    0.75
    Activations Density 0.010%

    No Known Activations