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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. 9855
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    Explanations

    future uncertainties and possibilities

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating possibility or necessity

    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
     wasting
    -0.74
     plotting
    -0.71
     filming
    -0.68
     spitting
    -0.67
     accountable
    -0.64
     wary
    -0.62
     glad
    -0.62
     preparing
    -0.61
     messing
    -0.61
     fluent
    -0.60
    POSITIVE LOGITS
     reside
    0.81
    KEN
    0.78
    PsyNetMessage
    0.77
    ãĤ«
    0.75
    jri
    0.75
     hinges
    0.74
    WER
    0.72
     involve
    0.72
    ainer
    0.70
    ãĥĢ
    0.70
    Activations Density 0.262%

    No Known Activations