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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. 1300
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    Explanations

    dates

    oai_token-act-pair · gpt-3.5-turbo

    specific dates mentioned in the text

    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
    ortunately
    -0.59
     glim
    -0.58
     behavi
    -0.53
     encount
    -0.53
     casinos
    -0.52
     cumbers
    -0.52
     perspect
    -0.52
     newcom
    -0.51
     conflic
    -0.51
     reluct
    -0.51
    POSITIVE LOGITS
    eteenth
    0.94
     29
    0.93
     27
    0.92
     26
    0.91
     23
    0.90
     28
    0.90
     31
    0.87
     22
    0.86
     19
    0.85
     24
    0.85
    Activations Density 0.065%

    No Known Activations