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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. 7-RES-JB
    11. 6458
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    Explanations

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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hots
    -0.88
    wcs
    -0.77
    BLE
    -0.66
    SAY
    -0.64
    é¾įåĸļ士
    -0.63
    ãĥ´
    -0.63
     cannabin
    -0.62
     Chrys
    -0.61
     Argon
    -0.60
     solitary
    -0.59
    POSITIVE LOGITS
    enhagen
    1.03
    rolled
    0.92
    boxes
    0.91
    er
    0.89
    box
    0.89
    lists
    0.88
    ups
    0.86
    book
    0.84
    strap
    0.84
    etts
    0.83
    Activations Density 0.032%

    No Known Activations