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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. 6-RES-JB
    11. 240
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    Explanations

    phrases that indicate the reason or cause for something

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "for which" in contexts related to various subjects or themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fo
    -0.80
    politics
    -0.77
    ma
    -0.77
    nin
    -0.69
    viks
    -0.68
    shr
    -0.68
    Sty
    -0.67
    tty
    -0.67
    pa
    -0.66
    bus
    -0.66
    POSITIVE LOGITS
     dearly
    0.90
    xual
    0.71
    velength
    0.70
    awaru
    0.69
     sake
    0.69
    soever
    0.68
    emetery
    0.66
    kson
    0.64
     amusement
    0.63
    owship
    0.62
    Activations Density 0.021%

    No Known Activations