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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. 6-RES-JB
    11. 17865
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    Explanations

    statistics related to numbers of people affected by events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    instances of the conjunction "and" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¯
    -0.74
    NVIDIA
    -0.73
    POST
    -0.72
    ENS
    -0.70
    edia
    -0.65
    £
    -0.65
    olate
    -0.65
    LI
    -0.63
    scribe
    -0.63
    ukong
    -0.62
    POSITIVE LOGITS
     assorted
    0.95
     counting
    0.92
     totaling
    0.92
     apiece
    0.83
     equivalents
    0.73
     participated
    0.73
     injure
    0.71
     thereby
    0.70
     total
    0.69
     subsequ
    0.69
    Activations Density 0.210%

    No Known Activations