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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. 3-RES-JB
    11. 124
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    Explanations

    phrases or words related to questioning or challenging

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "qu" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HAEL
    -0.93
    zsche
    -0.77
    ocene
    -0.74
    AGES
    -0.72
    hyde
    -0.72
    nown
    -0.71
    OLOGY
    -0.66
    ãĤ¹ãĥĪ
    -0.64
    ãĥł
    -0.63
     è£ı
    -0.61
    POSITIVE LOGITS
    idd
    1.13
    ipp
    0.97
    icks
    0.97
    ipped
    0.96
    igg
    0.95
    ippers
    0.93
    aqu
    0.91
    arant
    0.91
    ilts
    0.88
    ipper
    0.88
    Activations Density 0.009%

    No Known Activations