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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. 4-RES-JB
    11. 9391
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    Explanations

    words related to law enforcement and criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and transitional phrases that precede significant statements

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

    No Comments

    Negative Logits
    swick
    -0.69
    ruck
    -0.69
     corrid
    -0.66
    uces
    -0.66
     reins
    -0.66
     decks
    -0.62
     pickup
    -0.62
     formations
    -0.61
     bodies
    -0.60
    IOR
    -0.59
    POSITIVE LOGITS
    wikipedia
    0.82
     alas
    0.78
    bable
    0.76
    ivable
    0.74
     albeit
    0.73
    tem
    0.72
    putable
    0.72
    except
    0.71
    velength
    0.70
     namely
    0.69
    Activations Density 0.261%

    No Known Activations