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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. 11-RES-JB
    11. 23992
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    Explanations

    terms related to receiving communication or information

    oai_token-act-pair · gpt-3.5-turbo

    various forms of communication and references to sender-recipient relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     setbacks
    -0.74
    parency
    -0.69
    isans
    -0.68
    icip
    -0.68
    astical
    -0.66
    earchers
    -0.66
    riors
    -0.65
    endars
    -0.65
    sequent
    -0.64
    negie
    -0.64
    POSITIVE LOGITS
     somebody
    1.13
     someone
    1.00
     another
    0.95
     ours
    0.95
     my
    0.93
     SOME
    0.89
     Dept
    0.89
     alot
    0.88
     me
    0.86
     yours
    0.85
    Activations Density 0.673%

    No Known Activations