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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. 3-RES-JB
    11. 4499
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    Explanations

    expressions of gratitude or acknowledgment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude or appreciation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    infect
    -0.91
     compuls
    -0.80
    metal
    -0.73
    smoking
    -0.71
    prep
    -0.71
    shr
    -0.71
    dest
    -0.70
    wreck
    -0.68
    quer
    -0.68
    corn
    -0.67
    POSITIVE LOGITS
     appreciation
    0.98
     appreciate
    0.96
    ĸļ
    0.96
     appreciated
    0.78
     Pwr
    0.77
    ably
    0.76
    reciation
    0.71
     appreci
    0.71
    ¿½
    0.71
    enance
    0.70
    Activations Density 0.025%

    No Known Activations