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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
    11. 24102
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    Explanations

    instances of the word "say" followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve the word "say" used as a filler or in expressions of opinion

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    aughs
    -0.82
     destro
    -0.81
     conflic
    -0.75
     tremend
    -0.74
    obal
    -0.72
    kefeller
    -0.71
    leeve
    -0.66
    ctic
    -0.66
    folios
    -0.65
    andem
    -0.63
    POSITIVE LOGITS
     goodbye
    0.98
    parts
    0.85
    lihood
    0.80
     hello
    0.75
    backs
    0.72
     Schr
    0.69
    oran
    0.64
    ansk
    0.63
    ership
    0.62
    away
    0.62
    Activations Density 0.027%

    No Known Activations