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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. 9-RES-JB
    11. 16708
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    Explanations

    phrases related to awards or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    the presence of empty tokens, indicating potentially structural or formatting elements like paragraph breaks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     adm
    -0.74
     phyl
    -0.71
    ģĸ
    -0.70
     Aval
    -0.69
     diplom
    -0.69
     afore
    -0.67
     roy
    -0.65
     wip
    -0.64
     susp
    -0.63
     Bild
    -0.63
    POSITIVE LOGITS
    redict
    1.40
    ossible
    1.39
    rotein
    1.25
    ossibly
    1.25
    ossession
    1.24
    ractical
    1.23
    ulse
    1.22
    ixels
    1.21
    ropri
    1.21
    aired
    1.21
    Activations Density 0.051%

    No Known Activations