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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. 1-RES-JB
    11. 419
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    INDEX
    Explanations

    mentions of favored items, actions, or individuals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to favoritism and preferences in various contexts

    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
     Hebdo
    -0.69
    âĹ¼
    -0.69
    semb
    -0.67
    ways
    -0.66
    DEBUG
    -0.66
    ATTLE
    -0.65
     Newport
    -0.64
     substr
    -0.63
    CHR
    -0.62
    hook
    -0.62
    POSITIVE LOGITS
     Fav
    1.50
     fav
    1.18
     favors
    0.85
    itism
    0.83
    ernaut
    0.82
    iants
    0.81
    atem
    0.80
    avorite
    0.78
    rocal
    0.75
    rolet
    0.74
    Activations Density 0.005%

    No Known Activations