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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. 7351
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    Explanations

    phrases containing the word "there" along with various contextual connotations

    oai_token-act-pair · gpt-3.5-turbo

    instances of presence and location in relation to characters or subjects

    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
     param
    -0.67
     Flavoring
    -0.60
     omit
    -0.57
    ieties
    -0.57
    orically
    -0.57
     mosaic
    -0.57
    RIC
    -0.56
    rities
    -0.56
     autobiography
    -0.56
     commonly
    -0.56
    POSITIVE LOGITS
     Alive
    0.83
     ready
    0.83
     lookout
    0.78
     sensing
    0.75
     nowhere
    0.73
    ACTED
    0.72
     awaiting
    0.70
    llah
    0.70
     Hover
    0.69
     vantage
    0.68
    Activations Density 0.603%

    No Known Activations