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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 20867
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    Explanations

    programming commands and code-related terms, particularly with a focus on input and output functions like prompting for a password and adding lines to a file

    oai_token-act-pair · gpt-3.5-turbo

    instances of punctuation, specifically commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     embattled
    -0.64
    utive
    -0.63
     disciplinary
    -0.60
     investig
    -0.60
     reelection
    -0.60
     detainees
    -0.59
     counterterrorism
    -0.59
     convictions
    -0.59
    )—
    -0.59
    uscript
    -0.58
    POSITIVE LOGITS
     etc
    1.13
     namely
    1.13
     haha
    1.13
     ie
    1.10
     preferably
    0.97
     whereas
    0.97
     BUT
    0.95
    etc
    0.94
     whilst
    0.93
     although
    0.92
    Activations Density 0.833%

    No Known Activations