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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. 21706
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    Explanations

    instances where a subject is pleased about a specific event or outcome

    oai_token-act-pair · gpt-3.5-turbo

    expressions of satisfaction or approval

    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
    opic
    -0.95
    issues
    -0.76
    plane
    -0.73
    roads
    -0.72
    grad
    -0.69
    access
    -0.67
    efficiency
    -0.65
    allows
    -0.65
     Huntington
    -0.64
    gger
    -0.64
    POSITIVE LOGITS
     pleased
    1.12
    ĸļ
    0.92
     delighted
    0.86
     satisfied
    0.85
    mble
    0.84
    iated
    0.83
     surpr
    0.82
    terness
    0.79
     applause
    0.78
    ieval
    0.77
    Activations Density 0.007%

    No Known Activations