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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
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    Explanations

    references to innocence or innocence being challenged

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of innocence, particularly in relation to individuals in precarious situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chart
    -0.74
     Remastered
    -0.70
     Scale
    -0.68
     belt
    -0.65
    kamp
    -0.64
     Migration
    -0.64
     resh
    -0.63
    vision
    -0.63
    DT
    -0.63
    Shift
    -0.63
    POSITIVE LOGITS
     innocent
    3.73
     innocence
    2.39
     innoc
    2.27
     Innocent
    2.16
     unsuspecting
    1.65
     innocuous
    1.61
     harmless
    1.60
     unwitting
    1.48
     unarmed
    1.47
     guilty
    1.40
    Activations Density 0.029%

    No Known Activations