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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. 11-RES-JB
    11. 1145
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    INDEX
    Explanations

    phrases indicating strong opinions or emotions

    oai_token-act-pair · gpt-3.5-turbo

    strong emotional expressions and negative sentiments in interpersonal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     a
    -0.57
     an
    -0.48
     royalties
    -0.45
     Tart
    -0.44
     sensibilities
    -0.44
    someone
    -0.44
     reminis
    -0.43
     Leilan
    -0.42
     motions
    -0.42
     reperto
    -0.42
    POSITIVE LOGITS
    rd
    0.65
    UE
    0.63
    ummy
    0.62
    iste
    0.58
    ue
    0.58
    ues
    0.57
    ½
    0.57
    estone
    0.56
    neath
    0.55
    oh
    0.54
    Activations Density 0.898%

    No Known Activations