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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. 15034
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    Explanations

    numbers related to rankings or positions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of rankings or numerical positions

    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
    rador
    -0.84
    ossier
    -0.67
    outer
    -0.67
     franc
    -0.66
    Materials
    -0.64
     bung
    -0.63
    Sov
    -0.62
    imar
    -0.62
    owered
    -0.62
    clair
    -0.61
    POSITIVE LOGITS
    plates
    1.00
     crunch
    0.93
    plate
    0.87
    enance
    0.83
    ener
    0.79
    lessness
    0.76
     plates
    0.75
    esses
    0.73
    ology
    0.72
    metry
    0.71
    Activations Density 0.039%

    No Known Activations