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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. 8-RES-JB
    11. 10824
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    Explanations

    instructions or steps in a sequence

    oai_token-act-pair · gpt-3.5-turbo

    negative words or phrases related to criticism or lack of approval

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AAC
    -0.73
     cutting
    -0.73
     Handbook
    -0.72
     Britann
    -0.69
     etched
    -0.67
     casting
    -0.67
     elevation
    -0.67
     ranks
    -0.66
     Lawrence
    -0.66
     Cutting
    -0.65
    POSITIVE LOGITS
    enough
    1.25
    thing
    1.23
    selves
    1.21
    whatever
    1.19
    too
    1.19
    matter
    1.19
    anything
    1.18
    else
    1.17
    needed
    1.15
    mess
    1.15
    Activations Density 0.096%

    No Known Activations