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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. 5709
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    Explanations

    words related to strong and intense actions or reactions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to intensity and aggression

    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
    pta
    -0.77
    Companies
    -0.74
    utra
    -0.74
     Companies
    -0.70
    holder
    -0.69
     Universities
    -0.68
     Dragonbound
    -0.68
    Kit
    -0.63
    tics
    -0.63
    heimer
    -0.63
    POSITIVE LOGITS
     fer
    1.18
    dinand
    1.09
    ried
    1.08
    ocity
    0.99
    rets
    0.95
    riers
    0.92
    rier
    0.86
    ocious
    0.84
    ret
    0.83
    rocal
    0.82
    Activations Density 0.005%

    No Known Activations