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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. 6-RES-JB
    11. 18675
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    Explanations

    quantitative terms and numbers

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data and statistics related to events or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ..."
    -0.74
     sacrific
    -0.68
     goddamn
    -0.63
    .","
    -0.63
     fucking
    -0.61
     fuckin
    -0.61
    ](
    -0.61
    marine
    -0.60
    brance
    -0.60
    ..."
    -0.59
    POSITIVE LOGITS
     meanwhile
    0.75
     HuffPost
    0.70
     spokeswoman
    0.66
    question
    0.65
     spokesman
    0.64
    surprisingly
    0.62
     arrests
    0.59
     reopened
    0.59
    committee
    0.58
     Grassley
    0.58
    Activations Density 1.079%

    No Known Activations