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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. 20290
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    Explanations

    instances of action verbs related to handling situations or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to action and engagement 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
     predec
    -0.73
    ¿½
    -0.69
     memorable
    -0.67
     presenter
    -0.62
    Ö¼
    -0.61
     interviewer
    -0.60
     founding
    -0.59
    oda
    -0.59
     architect
    -0.59
    gement
    -0.58
    POSITIVE LOGITS
     lately
    1.00
     tonight
    0.73
     RIGHT
    0.73
     awfully
    0.69
    packs
    0.69
     everywhere
    0.65
     bushes
    0.64
    selves
    0.64
     now
    0.63
     footsteps
    0.63
    Activations Density 0.937%

    No Known Activations