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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. 6680
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    Explanations

    comparisons related to quantity or degree

    oai_token-act-pair · gpt-3.5-turbo

    comparative quantities or levels relating to various subjects

    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
    Mis
    -0.62
     unsure
    -0.61
    rather
    -0.61
     dunno
    -0.59
    not
    -0.59
    Leaks
    -0.58
    nothing
    -0.58
    WI
    -0.57
    probably
    -0.56
    between
    -0.56
    POSITIVE LOGITS
     anymore
    1.33
     nor
    1.06
     adequately
    1.01
     sufficient
    0.98
    enough
    0.98
     enough
    0.93
     adequate
    0.91
     sufficiently
    0.91
     sustained
    0.90
     comparable
    0.89
    Activations Density 0.429%

    No Known Activations