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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. 9-RES-JB
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    Explanations

    the word "there" in sentences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "there" and its context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     FTA
    -0.56
    é¾
    -0.55
     favour
    -0.55
    IRE
    -0.54
     appell
    -0.53
     CJ
    -0.53
    ility
    -0.52
    Urban
    -0.52
     prudent
    -0.52
    RELATED
    -0.52
    POSITIVE LOGITS
    abouts
    1.36
    tical
    1.03
    fore
    0.93
     somewhere
    0.92
    tic
    0.87
    tics
    0.87
     Somewhere
    0.85
    inel
    0.78
     waiting
    0.76
     somew
    0.75
    Activations Density 0.072%

    No Known Activations