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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. 4285
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    Explanations

    terms related to psychological or medical axes

    oai_token-act-pair · gpt-3.5-turbo

    references to axes or axis-related terms in various contexts

    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
    lé
    -0.94
    asus
    -0.90
    elling
    -0.89
    nered
    -0.89
    arers
    -0.81
    nel
    -0.81
    ledged
    -0.80
    ocene
    -0.78
    lished
    -0.78
    orph
    -0.77
    POSITIVE LOGITS
    xual
    0.84
     crank
    0.73
    ysis
    0.70
     sickness
    0.69
     blaster
    0.66
    llor
    0.66
     exerc
    0.64
     palms
    0.64
    ãĥĥãĤ¯
    0.63
     Rhythm
    0.62
    Activations Density 0.095%

    No Known Activations