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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. 19600
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    Explanations

    verbs related to actions taken by specific professions

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "to be" in various contexts

    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
    士
    -0.64
     lur
    -0.63
    Õ
    -0.61
     Highlands
    -0.60
    odied
    -0.59
    =-=-
    -0.59
     Stability
    -0.58
     Kills
    -0.58
     Rosenberg
    -0.57
     Valley
    -0.57
    POSITIVE LOGITS
     supposed
    1.13
     able
    1.12
     accustomed
    1.10
     doing
    1.05
     trying
    1.04
     hoping
    1.04
     expecting
    1.04
     willing
    1.03
     aiming
    1.02
     experiencing
    1.01
    Activations Density 0.107%

    No Known Activations