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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. 6-RES-JB
    11. 7705
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roman
    -0.78
    adem
    -0.76
    hra
    -0.73
    ord
    -0.68
    unia
    -0.68
    avier
    -0.67
    lahoma
    -0.67
    thia
    -0.67
    sup
    -0.67
    opol
    -0.66
    POSITIVE LOGITS
    ING
    1.47
    FORM
    1.46
    ER
    1.41
    OUT
    1.41
    EST
    1.40
    NAME
    1.39
    LY
    1.38
    ERS
    1.38
    IST
    1.37
    ELY
    1.36
    Activations Density 0.310%

    No Known Activations