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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. 11-RES-JB
    11. 11096
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    INDEX
    Explanations

    quantitative measurements or numbers mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illery
    -0.63
    cised
    -0.52
    venge
    -0.51
     Desire
    -0.51
    namese
    -0.49
     Telegram
    -0.48
    FACE
    -0.47
    erno
    -0.47
    etsk
    -0.47
    mma
    -0.46
    POSITIVE LOGITS
     or
    1.52
    +)
    1.41
    +,
    1.22
    +
    1.21
    +.
    1.18
    -,
    1.11
    -$
    1.07
     to
    0.97
    %-
    0.94
    plus
    0.92
    Activations Density 0.393%

    No Known Activations