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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
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    Explanations

    mentions of the word "Sing" with varying activation strengths

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Sing" and its variants, indicating a focus on singing-related themes or activities

    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
    Downloadha
    -0.92
     VICE
    -0.76
    utterstock
    -0.70
    berus
    -0.69
    etheless
    -0.68
    ossession
    -0.67
    OURCE
    -0.66
    obbies
    -0.65
    imaru
    -0.65
    Ĭ±
    -0.65
    POSITIVE LOGITS
    leton
    1.22
    apore
    1.18
    ularity
    1.17
    Sing
    1.04
    sing
    0.97
     Sing
    0.97
    ling
    0.97
    lest
    0.93
    mers
    0.93
    rab
    0.92
    Activations Density 0.006%

    No Known Activations