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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. 14379
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    Explanations

    places or locations mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or places

    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
    TAG
    -0.78
    FIN
    -0.73
    vous
    -0.73
    REAM
    -0.68
    WARNING
    -0.67
    arb
    -0.66
    Screenshot
    -0.66
    IFF
    -0.65
    ilus
    -0.64
    Prin
    -0.64
    POSITIVE LOGITS
    bos
    0.99
     Places
    0.86
    abouts
    0.82
     frequ
    0.81
     places
    0.75
    holder
    0.73
    hare
    0.73
    pots
    0.73
    holders
    0.73
    places
    0.72
    Activations Density 0.021%

    No Known Activations