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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. 15010
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    Explanations

    names of cities or locations

    oai_token-act-pair · gpt-3.5-turbo

    various forms of the word "Ok" and potentially other identifiers related to people or places

    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
     Giul
    -0.63
    phia
    -0.62
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.61
     lobb
    -0.61
    advertisement
    -0.60
    PsyNetMessage
    -0.58
    ebus
    -0.58
     illeg
    -0.57
    berus
    -0.57
     query
    -0.57
    POSITIVE LOGITS
    wo
    0.96
    ushi
    0.93
    awa
    0.90
    atu
    0.84
    ikuman
    0.82
    upid
    0.81
    ovi
    0.81
    owski
    0.76
    atsu
    0.75
    ashi
    0.74
    Activations Density 0.190%

    No Known Activations