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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

    references to the programming language Perl

    oai_token-act-pair · gpt-3.5-turbo

    references to programming languages, particularly Perl and its versions

    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
    ndra
    -0.81
    lies
    -0.74
    hips
    -0.74
    orthy
    -0.73
    ŀ
    -0.67
     Huck
    -0.66
    llers
    -0.66
    76561
    -0.62
    è¦
    -0.62
     Earl
    -0.62
    POSITIVE LOGITS
     Perl
    1.07
    mers
    0.92
    anguage
    0.83
     mosqu
    0.82
     perl
    0.80
    uvian
    0.77
    umeric
    0.74
    conservancy
    0.73
     cords
    0.73
    ode
    0.71
    Activations Density 0.006%

    No Known Activations