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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. 1-RES-JB
    11. 23301
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    Explanations

    phrases or directives instructing action

    oai_token-act-pair · gpt-3.5-turbo

    calls to action

    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
     advertised
    -0.73
     disgr
    -0.65
     collapsing
    -0.65
    eers
    -0.64
     decoration
    -0.63
     constitu
    -0.62
    uctor
    -0.59
     brill
    -0.59
     density
    -0.59
     mishand
    -0.59
    POSITIVE LOGITS
    aways
    1.16
    overs
    0.91
     Take
    0.89
    away
    0.87
    Take
    0.86
    autions
    0.85
    weed
    0.80
    ume
    0.78
     Care
    0.77
    uchi
    0.77
    Activations Density 0.014%

    No Known Activations