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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. 8561
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    Explanations

    Japanese names or terms

    oai_token-act-pair · gpt-3.5-turbo

    words or names related to people and their identities

    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
    ulence
    -0.76
    liness
    -0.75
    child
    -0.74
     unfocusedRange
    -0.73
    log
    -0.69
    ched
    -0.66
     directions
    -0.64
    uple
    -0.64
    fell
    -0.63
    ried
    -0.63
    POSITIVE LOGITS
    uala
    0.75
    veyard
    0.74
    enture
    0.73
    icably
    0.71
    owan
    0.69
    ña
    0.69
    abal
    0.68
    agher
    0.68
     STA
    0.67
    arta
    0.65
    Activations Density 0.105%

    No Known Activations