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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. 17208
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    Explanations

    the word "and"

    oai_token-act-pair · gpt-3.5-turbo

    the word "and" in various contexts

    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
    odcast
    -0.75
     tremend
    -0.74
     eleph
    -0.70
     ferment
    -0.69
    lectic
    -0.68
     satell
    -0.67
    mpeg
    -0.67
    pmwiki
    -0.65
     fasc
    -0.65
    keley
    -0.64
    POSITIVE LOGITS
    erers
    1.11
    hra
    1.03
    idate
    1.01
    erer
    1.01
    rogen
    0.93
    romeda
    0.90
    ering
    0.90
    emonium
    0.89
    ered
    0.88
    ahar
    0.87
    Activations Density 0.036%

    No Known Activations