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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. 6423
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    !'
    -0.60
    schild
    -0.59
     hilar
    -0.57
     pione
    -0.56
    ominated
    -0.54
    ').
    -0.53
     prest
    -0.51
    !'"
    -0.50
    ñ
    -0.50
    .'
    -0.50
    POSITIVE LOGITS
     "
    0.71
     "âĢ¦
    0.67
     "[
    0.64
    taboola
    0.62
     "...
    0.60
    wcs
    0.57
     ''
    0.57
     counselling
    0.57
     "'
    0.55
     consultations
    0.53
    Activations Density 1.581%

    No Known Activations