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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. 23601
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    INDEX
    Explanations

    adjectives related to importance or intensity

    oai_token-act-pair · gpt-3.5-turbo

    words indicating significance or severity of situations

    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
    stead
    -0.81
    GH
    -0.74
    oscope
    -0.73
    ACA
    -0.68
    ango
    -0.68
    etc
    -0.65
    WE
    -0.65
    insula
    -0.63
    zig
    -0.63
    ibrary
    -0.63
    POSITIVE LOGITS
     sounding
    0.79
     minded
    0.78
    idious
    0.72
     assemb
    0.71
    ened
    0.70
     learners
    0.69
     enough
    0.68
    iated
    0.68
     disse
    0.67
     pursu
    0.64
    Activations Density 0.300%

    No Known Activations