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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. 7-RES-JB
    11. 23503
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    Explanations

    phrases indicating desire or intention

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intent

    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
     Fowler
    -0.65
    rir
    -0.61
     Notting
    -0.61
    Condition
    -0.60
     guiActiveUn
    -0.59
    rium
    -0.58
    ilial
    -0.58
    roach
    -0.57
    may
    -0.57
    MRI
    -0.56
    POSITIVE LOGITS
     sake
    0.68
     honesty
    0.67
     answers
    0.67
     cleaned
    0.64
     clarity
    0.63
     honest
    0.63
     smoot
    0.63
     revenge
    0.63
    thood
    0.63
     rebuilt
    0.62
    Activations Density 0.163%

    No Known Activations