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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. 22100
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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
     believing
    -0.68
     endeav
    -0.67
    ãħĭ
    -0.67
    romising
    -0.66
    Acknowled
    -0.66
    Reply
    -0.65
    BUG
    -0.64
    Recomm
    -0.64
    confidence
    -0.63
    Fight
    -0.63
    POSITIVE LOGITS
     typically
    1.22
     expire
    1.20
     vary
    1.19
     averaged
    1.18
     totaled
    1.18
     qualify
    1.15
     aren
    1.09
     comprise
    1.06
     are
    1.04
     require
    1.03
    Activations Density 0.344%

    No Known Activations