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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. 9819
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    Explanations

    words related to specific locations or names, especially "Monte" and "Glen"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names, particularly "Monte" and "Glen."

    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
    agy
    -0.72
    į
    -0.71
    oppable
    -0.69
    enance
    -0.65
    ī
    -0.65
    ĩ
    -0.65
    inx
    -0.63
     subp
    -0.62
    Republic
    -0.61
    ators
    -0.61
    POSITIVE LOGITS
    coe
    0.97
    naissance
    0.94
    forth
    0.88
    clair
    0.84
    felt
    0.84
    phrine
    0.81
    opsis
    0.81
    lla
    0.80
    ritional
    0.80
     Alto
    0.80
    Activations Density 0.095%

    No Known Activations