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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. 4-RES-JB
    11. 2321
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    Explanations

    phrases indicating surprise or novelty

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing a lack of knowledge or awareness about something

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

    No Comments

    Negative Logits
    assis
    -0.73
    grad
    -0.72
    irth
    -0.70
    missions
    -0.70
    oresc
    -0.69
    visor
    -0.68
    jac
    -0.68
    nec
    -0.68
    ardi
    -0.67
     Encyclopedia
    -0.66
    POSITIVE LOGITS
     else
    1.57
    Else
    1.26
    THING
    1.08
     resembling
    1.04
     Else
    1.01
     remotely
    0.97
     whatsoever
    0.90
     imaginable
    0.87
    else
    0.84
     worthwhile
    0.83
    Activations Density 0.020%

    No Known Activations