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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. 4891
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    Explanations

    references to interactions that occur in person as opposed to online

    oai_token-act-pair · gpt-3.5-turbo

    references to in-person experiences and interactions

    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
    oi
    -0.83
    pid
    -0.73
    esta
    -0.72
    ione
    -0.70
    wx
    -0.70
    frey
    -0.70
    hov
    -0.70
    vous
    -0.68
    omaly
    -0.67
    gerald
    -0.67
    POSITIVE LOGITS
    aneously
    0.80
     basis
    0.77
     copies
    0.68
     versions
    0.65
    ruck
    0.65
     copy
    0.64
     proofs
    0.63
    assisted
    0.63
     induction
    0.61
     butcher
    0.61
    Activations Density 0.560%

    No Known Activations