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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. 18175
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    Explanations

    references to brain cells and neurons

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific concepts, particularly those related to the brain and neurons

    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
     gunfire
    -0.67
    etheless
    -0.66
    anwhile
    -0.63
     Forsaken
    -0.58
    xit
    -0.57
     gunshots
    -0.56
    uana
    -0.54
     Zika
    -0.54
    Elsewhere
    -0.54
    uterte
    -0.54
    POSITIVE LOGITS
    ellectual
    0.61
    ̶
    0.58
     Founding
    0.57
    Prin
    0.56
    oried
    0.56
    staking
    0.55
    ulously
    0.55
    arist
    0.55
     predecessors
    0.54
     Principle
    0.54
    Activations Density 1.361%

    No Known Activations