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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. 9-RES-JB
    11. 23093
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    Explanations

    phrases containing the word "Come" followed by a verb or preposition

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "come" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    visors
    -0.85
    popular
    -0.76
    osterone
    -0.75
    benef
    -0.73
    involved
    -0.73
    aido
    -0.72
    aceutical
    -0.72
    esson
    -0.70
    esc
    -0.70
    rendered
    -0.70
    POSITIVE LOGITS
     hither
    0.89
    backs
    0.87
     forth
    0.79
    leon
    0.76
    BuyableInstoreAndOnline
    0.67
     October
    0.67
     Election
    0.67
     January
    0.66
     WRITE
    0.66
     2022
    0.65
    Activations Density 0.050%

    No Known Activations