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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. 24495
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    Explanations

    phrases related to the usage of technology and software

    oai_token-act-pair · gpt-3.5-turbo

    the frequency of the word "using" in different contexts

    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
    witz
    -0.81
    undo
    -0.70
    neck
    -0.67
    uberty
    -0.65
    onement
    -0.65
    ortality
    -0.63
    judicial
    -0.63
    stad
    -0.62
    hra
    -0.62
    cour
    -0.61
    POSITIVE LOGITS
    ience
    0.81
    FUL
    0.80
    iences
    0.79
    Offline
    0.78
    omorphic
    0.78
    adata
    0.77
    ivated
    0.75
     aliases
    0.73
    ãĥ¼ãĥĨãĤ£
    0.72
    ancies
    0.72
    Activations Density 0.086%

    No Known Activations