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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. 0-RES-JB
    11. 16941
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    Explanations

    find words related to specific circumstances or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to various environmental or situational conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hack
    -0.66
    irl
    -0.64
    tall
    -0.63
     choir
    -0.61
    ked
    -0.61
     Num
    -0.61
     dick
    -0.60
    rete
    -0.60
     Anon
    -0.60
    jon
    -0.59
    POSITIVE LOGITS
     conditions
    3.87
     Conditions
    3.09
     condition
    2.40
     circumstances
    2.12
     Condition
    1.77
    condition
    1.75
     situations
    1.52
     temperatures
    1.44
    Condition
    1.42
     environments
    1.39
    Activations Density 0.020%

    No Known Activations