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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. 3-RES-JB
    11. 4549
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    Explanations

    numerical patterns, possibly related to software versions

    oai_token-act-pair · gpt-3.5-turbo

    specific version numbers or identifiers related to software, particularly Ubuntu

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     reluct
    -0.71
    ocene
    -0.70
    olson
    -0.69
     exha
    -0.66
     streng
    -0.64
    everal
    -0.64
     behavi
    -0.62
     tremend
    -0.61
    Þ
    -0.61
     strugg
    -0.60
    POSITIVE LOGITS
    00
    1.03
    raction
    0.91
    003
    0.85
    01
    0.85
    004
    0.81
    25
    0.78
    27
    0.75
    005
    0.75
    0100
    0.75
    30
    0.74
    Activations Density 0.013%

    No Known Activations