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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. 10-RES-JB
    11. 1232
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    Explanations

    words related to news headlines and media, especially focusing on specific entities such as "children's museum" and "Indian Navy."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations, events, and occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ÂŃ
    -0.89
    igo
    -0.68
    ï
    -0.68
    —"
    -0.67
    Correction
    -0.63
    though
    -0.63
    advertising
    -0.63
    Thankfully
    -0.59
    None
    -0.59
    wiki
    -0.58
    POSITIVE LOGITS
     thru
    0.90
     commenced
    0.84
    ,,,,
    0.78
     doesnt
    0.76
     :=
    0.74
     commence
    0.73
     wherein
    0.69
     hath
    0.68
    ,,
    0.68
     Referred
    0.67
    Activations Density 1.191%

    No Known Activations