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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. 9-RES-JB
    11. 17310
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    Explanations

    phrases related to recurring events or activities

    oai_token-act-pair · gpt-3.5-turbo

    themes related to daily occurrences and routines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ajor
    -0.74
    later
    -0.68
    una
    -0.66
    ahime
    -0.65
    ibur
    -0.63
    waters
    -0.62
    amina
    -0.62
    inently
    -0.61
     earlier
    -0.61
    ealous
    -0.59
    POSITIVE LOGITS
     brings
    0.82
     publishes
    0.73
     reminds
    0.71
     wakes
    0.71
    ounces
    0.69
     renew
    0.69
     announces
    0.68
     remind
    0.67
     flashes
    0.67
     updates
    0.66
    Activations Density 0.279%

    No Known Activations