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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. 16711
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    Explanations

    phrases with contrasting or contradictory elements

    oai_token-act-pair · gpt-3.5-turbo

    coordinating conjunctions that connect statements about emotions or experiences

    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
    ESE
    -0.83
     VIDEOS
    -0.82
    ATS
    -0.76
    odcast
    -0.75
    anza
    -0.75
    ICES
    -0.74
    OND
    -0.73
    ESA
    -0.71
    çīĪ
    -0.69
    ancial
    -0.68
    POSITIVE LOGITS
     therefore
    1.07
     thus
    1.01
     hence
    1.00
    rogen
    0.99
     consequently
    0.98
    rogens
    0.92
     possibly
    0.92
     then
    0.87
     sometimes
    0.81
     perhaps
    0.78
    Activations Density 0.424%

    No Known Activations