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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. 9-RES-JB
    11. 15746
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    Explanations

    phrases or sentences denoting a notable or remarkable event or situation

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, particularly periods indicating the end of statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     millenn
    -0.78
     corner
    -0.66
     misunderstood
    -0.65
     aven
    -0.64
     nodd
    -0.63
     shootout
    -0.62
     creeping
    -0.62
     barg
    -0.61
     negotiated
    -0.61
     unsus
    -0.59
    POSITIVE LOGITS
    _.
    1.12
    Pa
    1.06
    -.
    1.02
     .
    0.91
    uj
    0.87
    hack
    0.84
    mobi
    0.84
    NET
    0.83
    gif
    0.81
    Ħ¢
    0.80
    Activations Density 0.040%

    No Known Activations