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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. 15788
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    Explanations

    keywords related to achieving goals or making progress

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "through" in various contexts

    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
    ids
    -0.73
    juven
    -0.69
    CTV
    -0.69
    igh
    -0.66
    istically
    -0.64
    imens
    -0.64
     bitten
    -0.64
    abet
    -0.64
    istic
    -0.61
    LCS
    -0.60
    POSITIVE LOGITS
     intermedi
    0.81
    put
    0.73
    through
    0.72
    agall
    0.64
    assetsadobe
    0.64
     waivers
    0.63
     Seasons
    0.63
     Colleges
    0.62
    laws
    0.62
     Âł Âł Âł Âł
    0.61
    Activations Density 0.053%

    No Known Activations