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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. 7-RES-JB
    11. 14326
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    Explanations

    technical or explanatory statements

    oai_token-act-pair · gpt-3.5-turbo

    detailed descriptions and explanations of situations or scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.84
    gee
    -0.71
    shaw
    -0.70
    luster
    -0.68
    -)
    -0.64
    hement
    -0.63
     Adults
    -0.63
    inho
    -0.61
    imum
    -0.60
    semble
    -0.58
    POSITIVE LOGITS
     details
    0.81
     similarities
    0.80
     rationale
    0.78
     secrets
    0.75
     backstory
    0.74
     principles
    0.74
     specifics
    0.74
     blueprint
    0.73
     plans
    0.73
     plan
    0.73
    Activations Density 0.372%

    No Known Activations