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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. 3798
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    INDEX
    Explanations

    specific years or dates

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases and references to significant events or releases

    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
    és
    -0.82
    hem
    -0.81
    chant
    -0.76
    here
    -0.75
    fleet
    -0.74
    ogie
    -0.73
    anners
    -0.72
    æ©
    -0.72
    adj
    -0.71
    tel
    -0.69
    POSITIVE LOGITS
     exception
    1.74
     advent
    1.31
     help
    1.26
     caveat
    1.14
     exceptions
    1.10
     arrival
    1.06
     encouragement
    1.06
     hindsight
    1.04
     proliferation
    1.04
     onset
    1.04
    Activations Density 0.091%

    No Known Activations