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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. 6-RES-JB
    6. 2258
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    Explanations

    words related to adversaries or opponents

    oai_token-act-pair · gpt-3.5-turbo

    the term "opponent" used in various contexts related to conflict or competition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olia
    -0.83
     Loch
    -0.71
    erd
    -0.70
    eret
    -0.66
    oots
    -0.66
    mberg
    -0.66
    umph
    -0.65
    ocratic
    -0.65
    itizens
    -0.62
    acca
    -0.62
    POSITIVE LOGITS
     batters
    0.84
     foe
    0.80
    onent
    0.80
     opponent
    0.79
     opponents
    0.70
     combatants
    0.69
    hesis
    0.68
     vanquished
    0.67
    onents
    0.67
    oft
    0.67
    Activations Density 0.032%

    No Known Activations