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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. 11-RES-JB
    11. 23320
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    Explanations

    numeric values with percentages and ratios

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistical information

    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
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    No Comments

    Negative Logits
     pione
    -1.13
    ò
    -1.12
     eleph
    -1.10
     practition
    -1.10
     exting
    -1.10
    ortunately
    -1.09
    aditional
    -1.08
    Þ
    -1.08
    ě
    -1.06
    ö
    -1.06
    POSITIVE LOGITS
    Pg
    0.45
    xx
    0.43
    't
    0.43
    RL
    0.43
    tc
    0.42
    xxxxxxxx
    0.42
    bie
    0.42
    yx
    0.41
    ://
    0.41
    edit
    0.40
    Activations Density 1.664%

    No Known Activations