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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. 9-RES-JB
    11. 7341
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    Explanations

    phrases indicating improvement or change

    oai_token-act-pair · gpt-3.5-turbo

    terms related to improvements or positive changes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     compuls
    -0.66
    itu
    -0.63
    agate
    -0.62
    ictionary
    -0.60
    rive
    -0.59
     contracting
    -0.59
    amina
    -0.58
    ictions
    -0.58
    angling
    -0.57
    Sources
    -0.56
    POSITIVE LOGITS
     compared
    0.97
    iator
    0.80
     leaps
    0.79
    over
    0.76
    atform
    0.76
    undown
    0.72
     drastically
    0.71
     leap
    0.67
     from
    0.67
    inion
    0.66
    Activations Density 0.125%

    No Known Activations