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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. 4-RES-JB
    11. 2175
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words associated with social media actions and their implications

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

    No Comments

    Negative Logits
    Downloadha
    -0.79
    uana
    -0.73
    cius
    -0.71
    ultz
    -0.67
    OPLE
    -0.67
    ULTS
    -0.67
    aders
    -0.66
    pora
    -0.65
    ather
    -0.65
    idency
    -0.63
    POSITIVE LOGITS
    ed
    2.07
    edIn
    1.44
    ing
    1.43
    edly
    1.37
    er
    1.15
    eer
    1.11
    ery
    1.08
    eering
    1.07
    eers
    1.06
    ships
    1.05
    Activations Density 0.055%

    No Known Activations