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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. 8-RES-JB
    11. 16826
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    Explanations

    mentions of helicopters

    oai_token-act-pair · gpt-3.5-turbo

    references to helicopters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endi
    -0.80
    heimer
    -0.77
    女
    -0.76
    âĶģ
    -0.74
    ql
    -0.74
    Ô
    -0.72
    orian
    -0.71
     Coke
    -0.71
    places
    -0.70
    ento
    -0.70
    POSITIVE LOGITS
     helicopter
    1.04
     helicopters
    1.02
     flown
    0.91
     blades
    0.90
     hovering
    0.89
     hangar
    0.89
     pilots
    0.87
     rotor
    0.86
     helicop
    0.86
    opter
    0.84
    Activations Density 0.048%

    No Known Activations