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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. 17095
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    INDEX
    Explanations

    phrases prompting the reader to consider or examine something

    oai_token-act-pair · gpt-3.5-turbo

    imperative phrases that instruct or suggest 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
     advertised
    -0.73
     embr
    -0.66
    etter
    -0.62
     constitu
    -0.61
    mith
    -0.61
    oline
    -0.60
    iege
    -0.60
    icol
    -0.60
     accompanies
    -0.59
    oad
    -0.59
    POSITIVE LOGITS
    aways
    1.45
    away
    1.14
    overs
    0.93
    uchi
    0.90
     aback
    0.86
     advantage
    0.85
     heed
    0.84
    prising
    0.75
    frey
    0.73
    rolet
    0.71
    Activations Density 0.030%

    No Known Activations