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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. 17162
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    INDEX
    Explanations

    nostalgic or descriptive phrases expressing a sense of fullness or abundance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating abundance or completeness

    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
    hal
    -0.71
    idate
    -0.69
    pher
    -0.68
    DERR
    -0.67
    Ń·
    -0.65
    idge
    -0.63
    idon
    -0.61
    gemony
    -0.60
    }"
    -0.60
    åĤ
    -0.59
    POSITIVE LOGITS
    screen
    0.88
    erton
    0.86
    heartedly
    0.84
    fledged
    0.84
    blown
    0.79
     throttle
    0.76
    filled
    0.76
    grown
    0.75
    fill
    0.74
     blown
    0.71
    Activations Density 0.031%

    No Known Activations