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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. 11-RES-JB
    11. 18559
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    Explanations

    phrases indicating that there is not much of something specific

    oai_token-act-pair · gpt-3.5-turbo

    phrases that suggest a lack of significance or abundance, particularly using the word "much."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.89
    ĪĴ
    -0.76
    izoph
    -0.76
    Ł
    -0.76
    bey
    -0.76
    Ĥİ
    -0.72
    idon
    -0.71
    acia
    -0.68
    ramid
    -0.66
    inx
    -0.65
    POSITIVE LOGITS
     anymore
    1.24
     else
    0.99
     nor
    0.84
     unless
    0.82
     bothered
    0.80
     except
    0.80
    outside
    0.80
     specifics
    0.79
     whatsoever
    0.79
     besides
    0.78
    Activations Density 0.156%

    No Known Activations