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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. 14120
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    words with specific consonant patterns and syllable structures

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     fancy
    -0.68
    ĸļ
    -0.66
    Âł
    -0.64
    FORMATION
    -0.63
     envelope
    -0.63
     destroyer
    -0.63
     slot
    -0.62
     theme
    -0.62
     notch
    -0.61
     flourish
    -0.60
    POSITIVE LOGITS
    ansky
    0.98
    iak
    0.97
    anski
    0.97
    meier
    0.96
    ault
    0.93
    Corp
    0.93
    inski
    0.92
    owski
    0.90
    iewicz
    0.85
    sky
    0.85
    Activations Density 0.284%

    No Known Activations