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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. 1-RES-JB
    6. 12175
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    Explanations

    names, in this case probably specifically the name "Victor" or "Victoria"

    oai_token-act-pair · gpt-3.5-turbo

    references to victims and victimization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clips
    -0.76
     overhead
    -0.72
     accompanying
    -0.69
    WAYS
    -0.69
    OPLE
    -0.66
    ó
    -0.65
     interfering
    -0.65
     tightening
    -0.65
     habit
    -0.64
     organic
    -0.63
    POSITIVE LOGITS
    Vict
    1.43
    vict
    1.34
    orian
    0.96
    oire
    0.96
    ims
    0.96
    inel
    0.86
     vict
    0.85
    ician
    0.84
    orically
    0.82
    ime
    0.81
    Activations Density 0.009%

    No Known Activations