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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. 4-RES-JB
    11. 12356
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    INDEX
    Explanations

    phrases mentioning interest in specific activities or topics

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "interested in."

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

    No Comments

    Negative Logits
    Written
    -0.73
    minus
    -0.73
    ABC
    -0.71
     reluct
    -0.66
    ASS
    -0.65
    soever
    -0.64
    ERROR
    -0.64
    ACE
    -0.63
    hua
    -0.62
    uid
    -0.62
    POSITIVE LOGITS
    umbn
    0.98
    clus
    0.91
    clusions
    0.81
     regards
    0.78
     pursuing
    0.75
    ked
    0.73
     keeping
    0.73
    animate
    0.70
    76561
    0.68
     discussing
    0.67
    Activations Density 0.058%

    No Known Activations