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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    mentions of the word "Ducks" in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Ducks" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pton
    -0.91
    Interstitial
    -0.72
     fel
    -0.67
    INTER
    -0.64
     ease
    -0.63
    nec
    -0.63
    Crime
    -0.62
     unsub
    -0.61
     brow
    -0.60
    iddled
    -0.59
    POSITIVE LOGITS
     Ducks
    1.74
     Oilers
    0.93
     Sabres
    0.87
     Timbers
    0.86
    hess
    0.84
     Penguins
    0.84
     Coyotes
    0.83
    ersen
    0.82
     Blazers
    0.77
     Duck
    0.77
    Activations Density 0.006%

    No Known Activations