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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. 18089
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    Explanations

    instances of past actions, decisions, or events within a narrative context

    oai_token-act-pair · gpt-3.5-turbo

    instances of strong emotional responses and language expressing urgency or risk

    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
     himself
    -0.70
     herself
    -0.68
     Digest
    -0.63
    stroke
    -0.58
     Ambro
    -0.55
    Pain
    -0.54
    oshenko
    -0.53
     clipboard
    -0.52
     guiActiveUn
    -0.51
    atron
    -0.51
    POSITIVE LOGITS
     ourselves
    1.74
     our
    0.95
     ours
    0.83
     asses
    0.80
     selves
    0.79
     OUR
    0.77
     collectively
    0.73
     together
    0.70
    selves
    0.68
    together
    0.67
    Activations Density 0.793%

    No Known Activations