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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. 7-RES-JB
    11. 11790
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    INDEX
    Explanations

    instances where a specific time duration is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a minimum quantity or duration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FTWARE
    -0.69
    aceutical
    -0.66
     drums
    -0.59
    Reviewer
    -0.58
     Marian
    -0.56
     WRITE
    -0.55
     Romeo
    -0.55
     Giul
    -0.54
     washed
    -0.53
    GROUP
    -0.53
    POSITIVE LOGITS
     least
    1.52
    onement
    1.22
    roph
    1.08
    abase
    0.99
    yp
    0.93
    rial
    0.92
    mosp
    0.87
    ention
    0.84
    hens
    0.83
    las
    0.80
    Activations Density 0.085%

    No Known Activations