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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. 7-RES-JB
    11. 13624
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    Explanations

    phrases instructing or encouraging action towards a positive goal

    oai_token-act-pair · gpt-3.5-turbo

    references to interactions and dialogue within communities, emphasizing communication and engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VIDIA
    -0.75
    bernatorial
    -0.74
    haps
    -0.70
    levard
    -0.67
    lot
    -0.64
    iot
    -0.63
     Caption
    -0.62
    leton
    -0.62
     Archdemon
    -0.62
    ALLY
    -0.62
    POSITIVE LOGITS
     afloat
    1.15
     alive
    1.03
     accountable
    0.90
     intact
    0.89
     indefinitely
    0.77
     entertained
    0.77
     unchanged
    0.76
     manageable
    0.75
     glued
    0.74
     solvent
    0.74
    Activations Density 0.132%

    No Known Activations