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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. 1-RES-JB
    11. 581
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    Explanations

    mentions of the word "amps" with various intensities

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams or championships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    giving
    -0.64
    bid
    -0.63
    ©¶æ
    -0.62
     consent
    -0.60
    frame
    -0.59
    BY
    -0.59
    76561
    -0.58
    hra
    -0.58
    Fram
    -0.57
     resemblance
    -0.57
    POSITIVE LOGITS
    amps
    1.11
    shire
    1.00
    amp
    0.85
    amped
    0.82
    etr
    0.81
    aic
    0.80
    ocaly
    0.80
    odcast
    0.79
    opian
    0.79
    usa
    0.79
    Activations Density 0.007%

    No Known Activations