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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. 10-RES-JB
    11. 6106
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    Explanations

    the word "course" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating agreement or affirmation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    prus
    -0.70
    idas
    -0.69
    vati
    -0.65
    aukee
    -0.65
    rouse
    -0.64
    bish
    -0.61
    /"
    -0.61
    iasco
    -0.60
    icipated
    -0.60
    ocene
    -0.60
    POSITIVE LOGITS
     there
    0.88
    ,
    0.76
    !,
    0.69
    !
    0.67
     they
    0.66
     we
    0.65
     nobody
    0.65
     you
    0.61
     everybody
    0.61
     it
    0.61
    Activations Density 0.042%

    No Known Activations