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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. 24348
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    Explanations

    phrases related to government actions or political events

    oai_token-act-pair · gpt-3.5-turbo

    commas in the text

    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
    iple
    -0.70
    itialized
    -0.66
    OND
    -0.65
    onom
    -0.63
    ety
    -0.61
    oret
    -0.60
    ord
    -0.60
    phal
    -0.59
    abouts
    -0.59
    riad
    -0.59
    POSITIVE LOGITS
     respectively
    1.14
     namely
    1.00
     thereby
    0.96
     culminating
    0.92
     lest
    0.85
     resulting
    0.80
     aka
    0.79
    anwhile
    0.78
     etc
    0.76
     including
    0.74
    Activations Density 0.781%

    No Known Activations