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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. 5631
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    Explanations

    phrases indicating exclusivity, limitation, or uniqueness

    oai_token-act-pair · gpt-3.5-turbo

    phrases that highlight significant actions or commands

    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
    yssey
    -0.80
     anytime
    -0.73
    auga
    -0.73
    ahime
    -0.68
    anything
    -0.66
    omo
    -0.64
    esity
    -0.64
    ãĥ³
    -0.63
    enture
    -0.61
     simply
    -0.61
    POSITIVE LOGITS
    ifiable
    0.76
    bered
    0.73
     authorised
    0.63
     ones
    0.62
    etimes
    0.61
     exceptions
    0.60
    othes
    0.60
     qualified
    0.59
     authenticated
    0.58
    Admin
    0.58
    Activations Density 0.226%

    No Known Activations