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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. 9-RES-JB
    11. 16459
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    Explanations

    contacts being made for comments or responses

    oai_token-act-pair · gpt-3.5-turbo

    instances of reaching out for comments or responses from various sources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rider
    -0.76
    itialized
    -0.72
    ãĤ¸
    -0.72
    Ranked
    -0.69
    apo
    -0.67
    Bind
    -0.66
    aroo
    -0.65
    _-_
    -0.64
    Interstitial
    -0.64
    spawn
    -0.63
    POSITIVE LOGITS
     inquire
    0.96
     representatives
    0.88
     Medline
    0.80
     solicit
    0.79
     requesting
    0.78
     Activision
    0.77
     spokes
    0.75
     ask
    0.74
     Ars
    0.72
     request
    0.72
    Activations Density 0.176%

    No Known Activations