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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 22195
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    Explanations

    references to the term "Huntsville"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Hun" and its variations related to hunting or hunting culture

    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
    ONS
    -0.74
     Judith
    -0.64
    OND
    -0.62
    reet
    -0.61
    oral
    -0.60
    IDA
    -0.60
     Strauss
    -0.60
    DNA
    -0.59
    ruption
    -0.59
     Piercing
    -0.58
    POSITIVE LOGITS
    cheon
    1.10
    kered
    1.09
    culosis
    1.03
    ificent
    0.98
    ger
    0.93
    nam
    0.90
    ches
    0.87
    yip
    0.86
    cture
    0.85
    ition
    0.84
    Activations Density 0.068%

    No Known Activations