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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. 3-RES-JB
    11. 3345
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    Explanations

    praises and positive comments

    oai_token-act-pair · gpt-3.5-turbo

    mentions of praise or commendation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opers
    -0.74
    pos
    -0.71
    aho
    -0.69
    eper
    -0.66
    bourne
    -0.65
    psy
    -0.62
    ther
    -0.62
    vent
    -0.61
    seed
    -0.61
    ahon
    -0.60
    POSITIVE LOGITS
     applauded
    0.91
     praised
    0.90
     praise
    0.89
     praises
    0.88
     praising
    0.85
    ifully
    0.85
    imaru
    0.82
     lauded
    0.82
     applaud
    0.78
     aloud
    0.78
    Activations Density 0.020%

    No Known Activations