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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. 7-RES-JB
    11. 5088
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    INDEX
    Explanations

    mentions or references of specific names or information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "mention" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¯¯¯¯¯¯¯¯
    -0.85
    sett
    -0.75
    sis
    -0.74
    zers
    -0.71
    ¯¯¯¯
    -0.70
    ¯¯
    -0.69
    Constructed
    -0.67
    quer
    -0.67
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.65
    onew
    -0.65
    POSITIVE LOGITS
     mentioning
    0.95
     mentions
    0.83
    lihood
    0.81
     Kislyak
    0.80
     prominently
    0.73
     mention
    0.71
     aloud
    0.69
     names
    0.66
     topics
    0.64
    cliffe
    0.63
    Activations Density 0.047%

    No Known Activations