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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. 6-RES-JB
    11. 7388
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    Explanations

    words related to projects, events, and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to projects or initiatives, particularly those involving community or organizational elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srf
    -0.67
    ecause
    -0.63
    aturdays
    -0.60
    mercial
    -0.58
    enegger
    -0.58
    cale
    -0.57
    Ĭ±
    -0.57
    atever
    -0.56
     undermin
    -0.56
    vae
    -0.56
    POSITIVE LOGITS
    osphere
    0.69
    iest
    0.68
    ieth
    0.65
     itself
    0.65
    liest
    0.61
    's
    0.60
    iverse
    0.60
    natureconservancy
    0.58
    ultimate
    0.56
    forts
    0.55
    Activations Density 0.575%

    No Known Activations