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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
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    Explanations

    names ending in 'ser'

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "ser" in various contexts

    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
    sterdam
    -0.71
    enh
    -0.66
     Samoa
    -0.65
    endor
    -0.63
    elia
    -0.63
    Rated
    -0.61
    avorite
    -0.60
     curfew
    -0.60
    anked
    -0.59
    urden
    -0.59
    POSITIVE LOGITS
    geant
    1.26
    otonin
    0.98
    pent
    0.95
    vers
    0.93
    pine
    0.88
    vier
    0.86
    vation
    0.86
    gent
    0.82
    plings
    0.82
    ve
    0.82
    Activations Density 0.010%

    No Known Activations