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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. 7-RES-JB
    6. 4710
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    Explanations

    dates and specific details mentioned in emails or official communications

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "on" indicating dates and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     endif
    -0.82
    hello
    -0.66
     kissed
    -0.66
    hatt
    -0.65
    endif
    -0.64
    hole
    -0.64
     kidding
    -0.63
    AMI
    -0.63
    African
    -0.63
    natureconservancy
    -0.62
    POSITIVE LOGITS
    mbuds
    0.79
    erity
    0.75
    edom
    0.71
    raq
    0.68
     unprecedented
    0.68
    itech
    0.65
    ioch
    0.65
    igible
    0.65
    spect
    0.64
     December
    0.63
    Activations Density 0.396%

    No Known Activations