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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. 10-RES-JB
    11. 1340
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    Explanations

    examples provided in text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "for example" to highlight illustrative cases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     neighb
    -0.76
    ailability
    -0.69
     unlaw
    -0.68
     suspic
    -0.61
    ideshow
    -0.60
     equally
    -0.58
     millenn
    -0.58
     skelet
    -0.58
    ULTS
    -0.56
     comr
    -0.55
    POSITIVE LOGITS
    ,
    0.92
    .,
    0.81
    :
    0.78
    ,.
    0.75
    ,,
    0.75
    :#
    0.72
    ,...
    0.70
     suppose
    0.70
    ,—
    0.67
     imagine
    0.66
    Activations Density 0.038%

    No Known Activations