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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. 2-RES-JB
    11. 7905
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    Explanations

    expressions of gratitude or admiration

    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     compuls
    -0.92
    infect
    -0.87
    shr
    -0.75
    dest
    -0.74
    orig
    -0.73
    prep
    -0.71
    abad
    -0.70
    metal
    -0.70
    wreck
    -0.68
    voy
    -0.68
    POSITIVE LOGITS
     appreciation
    1.17
     appreciate
    1.04
    ĸļ
    0.93
     appreciated
    0.89
     appreci
    0.79
    reciation
    0.79
    ¿½
    0.76
    recated
    0.76
     compliments
    0.75
    rocal
    0.73
    Activations Density 0.009%

    No Known Activations