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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. 4-RES-JB
    11. 2568
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    Explanations

    forms of the prefix "fr-" combined with other letters

    oai_token-act-pair · gpt-3.5-turbo

    references or mentions of "frustration."

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

    No Comments

    Negative Logits
    folk
    -0.76
     Leilan
    -0.75
    creen
    -0.75
     Hots
    -0.68
     Occupations
    -0.67
    ept
    -0.67
    RAFT
    -0.65
     PsyNet
    -0.62
    efeated
    -0.62
    EStreamFrame
    -0.61
    POSITIVE LOGITS
    ugal
    1.20
    anche
    1.05
    agne
    1.00
    anches
    0.98
    anc
    0.96
    ances
    0.93
    aser
    0.93
    idge
    0.90
    onds
    0.88
    acking
    0.88
    Activations Density 0.011%

    No Known Activations