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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. 9-RES-JB
    11. 2632
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    Explanations

    mentions of people's names

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'a'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lasses
    -0.75
    t
    -0.73
    aer
    -0.66
    ties
    -0.65
    sed
    -0.63
    inances
    -0.62
    sin
    -0.61
    PLIED
    -0.61
     pige
    -0.60
    bart
    -0.59
    POSITIVE LOGITS
    ñ
    1.12
    BILITY
    1.04
    usterity
    1.00
    pler
    0.99
    veland
    0.97
    ples
    0.96
    ption
    0.95
    BILITIES
    0.95
    ç
    0.95
    pling
    0.94
    Activations Density 0.098%

    No Known Activations