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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. 11-RES-JB
    11. 21684
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    INDEX
    Explanations

    phrases related to rarity or uniqueness

    oai_token-act-pair · gpt-3.5-turbo

    the concept of rarity or infrequency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tens
    -0.70
     implied
    -0.60
     reeling
    -0.56
     Bauer
    -0.54
     dismant
    -0.54
     estab
    -0.53
     Assessment
    -0.53
    Primary
    -0.52
     Mandatory
    -0.52
     moot
    -0.52
    POSITIVE LOGITS
    r
    1.20
    st
    1.05
     occurrence
    1.03
    spect
    0.97
    ty
    0.94
    f
    0.93
     occasions
    0.84
    rance
    0.83
    nces
    0.82
    rl
    0.82
    Activations Density 0.066%

    No Known Activations