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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. 4777
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    Explanations

    items or entities mentioned in a list

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "list" 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
    perty
    -0.71
     sailing
    -0.69
     envelope
    -0.65
     seas
    -0.62
     merry
    -0.62
     reper
    -0.61
     stride
    -0.60
    rir
    -0.60
    ILLE
    -0.60
    icago
    -0.59
    POSITIVE LOGITS
    ening
    1.34
    ener
    1.21
    eners
    1.17
    erv
    1.04
    enf
    0.98
    ing
    0.98
    ened
    0.95
    erve
    0.90
    ets
    0.87
    geist
    0.87
    Activations Density 0.016%

    No Known Activations