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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. 3-RES-JB
    11. 22599
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    Explanations

    the word "am" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of self-identification or statements about one's own existence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rohing
    -0.70
     Tactics
    -0.66
     Which
    -0.66
     Gap
    -0.66
    bies
    -0.64
     Tow
    -0.64
     looms
    -0.64
     Lack
    -0.64
     Juven
    -0.61
     whence
    -0.60
    POSITIVE LOGITS
    sterdam
    0.99
    azon
    0.98
     hereby
    0.93
     thankful
    0.92
    abella
    0.92
     glad
    0.90
    ethyst
    0.87
     not
    0.87
     grateful
    0.86
     proud
    0.83
    Activations Density 0.052%

    No Known Activations