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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. 10863
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    Explanations

    specific details or entities within longer texts

    oai_token-act-pair · gpt-3.5-turbo

    numerical references and comparative descriptions related to various contexts

    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
    >:
    -0.71
    cause
    -0.71
    fty
    -0.67
    ¶ħ
    -0.64
    scription
    -0.64
     [/
    -0.62
    EStream
    -0.61
    ktop
    -0.61
    \\\\\\\\\\\\\\\\
    -0.61
    ::::
    -0.60
    POSITIVE LOGITS
     resides
    0.82
     resided
    0.77
     reside
    0.72
     intersect
    0.71
     disemb
    0.70
     foreigner
    0.67
     enters
    0.67
     awaited
    0.66
    REF
    0.66
     supposedly
    0.66
    Activations Density 0.342%

    No Known Activations