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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
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    Explanations

    instances of people lying down or being found in various positions

    oai_token-act-pair · gpt-3.5-turbo

    instances of individuals in lying or unconscious positions

    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
     Exclusive
    -0.75
    invoke
    -0.68
     Flavoring
    -0.68
     specialization
    -0.67
     wisely
    -0.66
     UTC
    -0.64
     divergence
    -0.64
    Fu
    -0.63
     inferred
    -0.62
     quotas
    -0.62
    POSITIVE LOGITS
     lifeless
    1.26
     unconscious
    1.17
     slumped
    1.10
     bleeding
    1.07
     limp
    1.04
     clutching
    1.02
     stret
    1.02
     handcuffed
    1.00
     sob
    0.99
    legged
    0.98
    Activations Density 0.238%

    No Known Activations