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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. 10-RES-JB
    11. 23345
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.81
    onyms
    -0.71
    entin
    -0.70
    qus
    -0.70
    irie
    -0.69
    iffe
    -0.68
    itary
    -0.64
    ©¶æ
    -0.63
    Optional
    -0.62
    iannopoulos
    -0.62
    POSITIVE LOGITS
     but
    1.19
     especially
    1.11
    but
    1.07
     huh
    0.98
    especially
    0.97
     particularly
    0.94
     yet
    0.92
     BUT
    0.91
    BUT
    0.90
     hence
    0.90
    Activations Density 0.363%

    No Known Activations