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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. 7-RES-JB
    11. 21321
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    Explanations

    modal verbs expressing possibility or likelihood

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs and expressions of uncertainty or possibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Helm
    -0.81
     Directorate
    -0.64
     Reilly
    -0.63
     Nightmares
    -0.62
     Submission
    -0.61
     Establishment
    -0.61
     Composite
    -0.61
     Steph
    -0.61
     Baal
    -0.59
     Revis
    -0.59
    POSITIVE LOGITS
    tan
    1.00
    own
    0.97
    wolves
    0.94
    tty
    0.88
    thing
    0.88
    conom
    0.88
    omorphic
    0.86
    ocratic
    0.86
    able
    0.84
    iful
    0.84
    Activations Density 0.564%

    No Known Activations