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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. 9-RES-JB
    11. 1333
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    Explanations

    terms related to the word "Cab" followed by a number indicating the strength of association

    oai_token-act-pair · gpt-3.5-turbo

    references to specific characters or elements from a game or media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    pace
    -0.65
    nesota
    -0.64
    ä¹ĭ
    -0.63
    FTWARE
    -0.62
     SPORTS
    -0.62
    ãģį
    -0.61
    ×ķ
    -0.60
    mosp
    -0.59
    Downloadha
    -0.58
     Eisen
    -0.57
    POSITIVE LOGITS
    aret
    1.46
    oodle
    1.11
    rio
    1.01
    ez
    0.98
    alist
    0.95
    ildo
    0.92
    allo
    0.88
    elia
    0.88
    oline
    0.88
    rill
    0.87
    Activations Density 0.026%

    No Known Activations