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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. 4894
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    Explanations

    people in various professions or roles

    oai_token-act-pair · gpt-3.5-turbo

    job titles or roles within various professions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    izoph
    -0.78
    اÙĦ
    -0.69
     Agenda
    -0.66
    theless
    -0.65
    edIn
    -0.65
    inations
    -0.63
     Centauri
    -0.63
     Flavoring
    -0.62
     Imperium
    -0.62
    lihood
    -0.62
    POSITIVE LOGITS
    ess
    1.19
     extraord
    1.09
    esses
    1.06
     sergeant
    1.01
    maid
    0.96
     surn
    0.89
     who
    0.88
     supervisor
    0.88
     specializing
    0.87
     instructor
    0.86
    Activations Density 0.219%

    No Known Activations