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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. 2-RES-JB
    11. 21932
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    INDEX
    Explanations

    words related to climax, peak, or culmination

    oai_token-act-pair · gpt-3.5-turbo

    words related to conclusions or endings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     subp
    -0.67
    ©¶æ
    -0.65
    selection
    -0.64
    beit
    -0.60
     Kou
    -0.60
     Rack
    -0.60
    xual
    -0.58
     ventilation
    -0.57
    ftime
    -0.57
    quez
    -0.57
    POSITIVE LOGITS
    ents
    1.03
    ence
    1.01
    ences
    0.97
    entially
    0.95
    ential
    0.93
    aceae
    0.92
    urious
    0.92
    ental
    0.91
    endo
    0.90
    encers
    0.90
    Activations Density 0.032%

    No Known Activations