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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. 6150
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    Explanations

    instructions or guides for performing specific tasks

    oai_token-act-pair · gpt-3.5-turbo

    the frequent use of the word "you" in instructions or advice

    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
    Contents
    -0.70
    assembly
    -0.67
    interstitial
    -0.66
    Georg
    -0.64
    wikipedia
    -0.63
    former
    -0.62
     Sabha
    -0.60
    Reviewer
    -0.59
    assemb
    -0.59
     Eag
    -0.59
    POSITIVE LOGITS
    're
    1.63
    've
    1.31
     want
    1.29
     intend
    1.25
     prefer
    1.20
     decide
    1.19
     wish
    1.14
     wanna
    1.12
     haven
    1.11
     dont
    1.07
    Activations Density 0.137%

    No Known Activations