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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. 736
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    Explanations

    phrases related to specific locations, particularly "Wake"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Wake" and variations of "wake" related to the concept of awakening or calls to attention

    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
    ahime
    -0.79
    inates
    -0.78
    afort
    -0.76
    bably
    -0.74
     mileage
    -0.73
     princip
    -0.69
    rador
    -0.68
    xual
    -0.67
    served
    -0.67
     clearance
    -0.66
    POSITIVE LOGITS
    fulness
    1.08
     Wake
    1.06
    urst
    0.95
    gate
    0.94
    mares
    0.91
    wake
    0.81
    field
    0.81
    mare
    0.78
    boarding
    0.77
    caster
    0.77
    Activations Density 0.009%

    No Known Activations