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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. 6-RES-JB
    11. 873
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    Explanations

    words related to non-conformity and forms of non-conventional behavior

    oai_token-act-pair · gpt-3.5-turbo

    references to forms and structures, particularly in artistic or conceptual contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cart
    -0.67
    EStream
    -0.66
     Seas
    -0.65
     Royals
    -0.64
    Spoiler
    -0.61
     Breath
    -0.60
     Lann
    -0.59
     spree
    -0.59
    vim
    -0.58
    ILA
    -0.58
    POSITIVE LOGITS
    idable
    1.27
    atted
    1.19
    aldehyde
    1.14
    ulations
    1.12
    ational
    1.07
    ulation
    1.01
    ative
    0.99
    ulum
    0.95
    ations
    0.95
    ulate
    0.94
    Activations Density 0.022%

    No Known Activations