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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 18509
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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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    always
    -0.70
    tackle
    -0.66
    omics
    -0.65
    aez
    -0.62
    pee
    -0.62
     dads
    -0.60
    then
    -0.59
    ÅŁ
    -0.58
    phasis
    -0.58
    read
    -0.58
    POSITIVE LOGITS
     otherwise
    1.13
     any
    1.03
     combination
    0.88
    ifice
    0.86
     other
    0.85
     hereafter
    0.84
    Else
    0.81
     alteration
    0.81
     thereof
    0.80
     persons
    0.79
    Activations Density 0.176%

    No Known Activations