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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. 8-RES-JB
    11. 8285
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    Explanations

    words related to kits and equipment

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the string "et" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Witcher
    -0.72
    FTWARE
    -0.64
     Tsukuyomi
    -0.63
    ¯
    -0.60
    cano
    -0.60
     charact
    -0.60
     undermin
    -0.60
    ister
    -0.59
    quit
    -0.59
     reconc
    -0.57
    POSITIVE LOGITS
    ted
    1.06
    roit
    1.06
    TING
    0.99
    ilde
    0.98
    tering
    0.98
    wana
    0.97
    hod
    0.96
    ropolis
    0.95
    hered
    0.94
    iquette
    0.92
    Activations Density 0.051%

    No Known Activations