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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. 8-RES-JB
    11. 16682
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    Explanations

    words related to actions that are considered necessary or required for a specific purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to necessity and the appropriateness of actions taken

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fif
    -0.76
     Flavoring
    -0.73
    ochond
    -0.72
    wives
    -0.72
    onut
    -0.67
    itle
    -0.66
    lif
    -0.65
    pat
    -0.65
    arette
    -0.64
    ursday
    -0.63
    POSITIVE LOGITS
    .''.
    0.78
    .—
    0.68
    .[
    0.67
     prov
    0.65
     emergencies
    0.65
    .
    0.64
     practicable
    0.63
     remotely
    0.63
     Geographic
    0.61
    .,
    0.60
    Activations Density 0.098%

    No Known Activations