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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. 1-RES-JB
    11. 22433
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    Explanations

    terms related to communication or indication

    oai_token-act-pair · gpt-3.5-turbo

    terms related to signaling in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zip
    -0.81
    sm
    -0.81
    oulder
    -0.77
    iar
    -0.72
    lv
    -0.70
    ilts
    -0.68
    pages
    -0.67
    iler
    -0.67
    umbnail
    -0.66
    iability
    -0.65
    POSITIVE LOGITS
     signaling
    1.39
     signalling
    1.36
     signals
    1.30
     signaled
    1.04
     signal
    1.03
     Signal
    0.89
     SIG
    0.83
     mosqu
    0.82
     Signs
    0.82
     cues
    0.79
    Activations Density 0.012%

    No Known Activations