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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. 9010
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    Explanations

    mention of something being slightly/negligibly present or changing

    oai_token-act-pair · gpt-3.5-turbo

    expressions that convey mild changes or nuances

    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
    mberg
    -0.78
    alogue
    -0.75
    izoph
    -0.74
    ©¶æ
    -0.68
    apter
    -0.68
    arters
    -0.67
    illas
    -0.67
    kamp
    -0.66
    rights
    -0.66
    ICLE
    -0.66
    POSITIVE LOGITS
     uptick
    0.98
     annoyance
    0.98
     exaggeration
    0.94
     breeze
    0.90
     resemblance
    0.88
     spoilers
    0.85
     hesitation
    0.84
     hint
    0.84
    er
    0.83
    est
    0.83
    Activations Density 0.044%

    No Known Activations