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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1745
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    Explanations

    words with the suffix '-y' followed by a strong activation value, particularly 'y' itself

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'y'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raltar
    -0.81
     Examiner
    -0.78
    IBLE
    -0.70
    icably
    -0.68
    insula
    -0.68
    itures
    -0.67
    bernatorial
    -0.65
    ãĥ¯
    -0.63
     vou
    -0.63
     foss
    -0.63
    POSITIVE LOGITS
    ield
    1.02
    ielding
    0.99
    Å«
    0.92
    aku
    0.90
    ank
    0.86
    olk
    0.85
    mbol
    0.81
    ikes
    0.81
    ng
    0.80
    STEM
    0.80
    Activations Density 0.055%

    No Known Activations