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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. 6-RES-JB
    11. 13975
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    Explanations

    phrases related to actions or events involving responsibility, compliance, and consequences

    oai_token-act-pair · gpt-3.5-turbo

    the word "and" in conjunction with a variety of phrases and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DIT
    -0.71
    PI
    -0.67
    ODY
    -0.66
    SPA
    -0.64
    ction
    -0.64
    spir
    -0.64
    Sep
    -0.63
    rb
    -0.63
    ATA
    -0.62
    Redditor
    -0.61
    POSITIVE LOGITS
     etc
    1.12
    etc
    1.06
     assorted
    0.90
     finally
    0.81
     ect
    0.77
     possibly
    0.77
     downright
    0.75
     ultimately
    0.69
     even
    0.69
     vo
    0.68
    Activations Density 0.314%

    No Known Activations