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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. 6-RES-JB
    11. 7211
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    Explanations

    verbs related to actions or processes

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating action or change

    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
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    Negative Logits
    dating
    -0.68
    76561
    -0.65
    hattan
    -0.65
     seams
    -0.63
    pmwiki
    -0.63
     Bubble
    -0.62
     sqor
    -0.61
     forgetting
    -0.61
    catentry
    -0.60
     hoping
    -0.59
    POSITIVE LOGITS
     theirs
    0.96
    enance
    0.81
    uate
    0.76
    dress
    0.72
    leeve
    0.71
    itate
    0.66
     THEIR
    0.65
     hers
    0.65
     freely
    0.64
    their
    0.64
    Activations Density 0.328%

    No Known Activations