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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
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    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number 39 in various contexts

    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
    plings
    -0.86
    efficients
    -0.82
    rament
    -0.81
    veyard
    -0.80
    ntil
    -0.79
    ruciating
    -0.79
    urus
    -0.78
    heed
    -0.75
    ricular
    -0.75
    rosse
    -0.75
    POSITIVE LOGITS
    393
    0.90
    394
    0.86
    OGR
    0.86
    893
    0.83
    41
    0.79
    40
    0.79
    29
    0.78
    44
    0.78
    461
    0.77
    39
    0.77
    Activations Density 0.028%

    No Known Activations