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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. 7-RES-JB
    11. 15673
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    Explanations

    instances where actions are being taken

    oai_token-act-pair · gpt-3.5-turbo

    instances of the article "a" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     horizont
    -0.69
    times
    -0.66
    Autom
    -0.65
    Attach
    -0.65
     attributes
    -0.65
     greets
    -0.64
    CI
    -0.63
     eyed
    -0.63
    tions
    -0.62
    peed
    -0.62
    POSITIVE LOGITS
     mistake
    0.92
     contribution
    0.88
     fuss
    0.88
     difference
    0.85
     distinction
    0.85
     comeback
    0.85
     lot
    0.84
     habit
    0.83
     cameo
    0.81
     pact
    0.81
    Activations Density 0.079%

    No Known Activations