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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. 17044
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    Explanations

    expressions related to personal preferences or choices

    oai_token-act-pair · gpt-3.5-turbo

    expressions of preference or choices between alternatives

    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
    orig
    -0.68
    INAL
    -0.67
    ults
    -0.62
    called
    -0.61
    uss
    -0.61
    idem
    -0.61
    ãĥĢ
    -0.61
    esi
    -0.61
    breaks
    -0.60
    bing
    -0.60
    POSITIVE LOGITS
     than
    0.82
     Than
    0.72
    ":["
    0.70
     prioritize
    0.68
     differentiate
    0.68
    swer
    0.67
     lett
    0.66
     tolerate
    0.66
     emulate
    0.66
     accommodate
    0.66
    Activations Density 0.016%

    No Known Activations