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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. 11054
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    Explanations

    words related to actions and states of being

    oai_token-act-pair · gpt-3.5-turbo

    verbs that indicate existence or action

    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
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    Negative Logits
     juven
    -0.76
     Sapp
    -0.70
     predicate
    -0.68
     SPD
    -0.68
     dismant
    -0.67
     stag
    -0.62
     modernization
    -0.61
     millenn
    -0.61
     fixation
    -0.61
     Tian
    -0.60
    POSITIVE LOGITS
    tics
    0.94
    alde
    0.88
    Ĥİ
    0.87
    ws
    0.85
    osures
    0.85
    aroo
    0.84
    abouts
    0.81
    $$
    0.80
    sis
    0.79
    rael
    0.77
    Activations Density 0.653%

    No Known Activations