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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. 15200
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    INDEX
    Explanations

    phrases or sentences about readers and their engagement with content

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating engagement or interaction with the audience

    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
    âĢİ
    -0.87
    ovember
    -0.84
    Footnote
    -0.75
    fman
    -0.74
    etts
    -0.68
    ikarp
    -0.68
    essee
    -0.67
    Quote
    -0.67
    agate
    -0.66
    MET
    -0.66
    POSITIVE LOGITS
    iframe
    0.63
     eBook
    0.62
     Search
    0.60
     Reader
    0.58
     Login
    0.57
    ãĤ¨
    0.57
     Porn
    0.56
     holiest
    0.56
    taboola
    0.56
    ired
    0.55
    Activations Density 0.097%

    No Known Activations