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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. 7-RES-JB
    11. 21499
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    Explanations

    instances of sequences related to steps or continuity in actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "once" followed by descriptions of processes or conditions that require a sequence of actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     understatement
    -0.72
     Mong
    -0.70
     Neh
    -0.66
     ital
    -0.66
     alternatively
    -0.64
     Nanto
    -0.63
     contrasts
    -0.62
     Constantin
    -0.62
     Luther
    -0.60
    always
    -0.60
    POSITIVE LOGITS
    sett
    0.86
     mastered
    0.84
    acqu
    0.83
    hran
    0.82
    entity
    0.77
    romy
    0.76
     foothold
    0.75
    icted
    0.72
    ividual
    0.72
    bered
    0.72
    Activations Density 0.155%

    No Known Activations