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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. 8-RES-JB
    11. 8477
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    Explanations

    instances of falling short in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "falls short" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ellar
    -0.80
    uo
    -0.72
    ellation
    -0.68
    cens
    -0.68
    ale
    -0.65
    RAW
    -0.64
     origin
    -0.63
    CU
    -0.62
    uala
    -0.62
     Disp
    -0.61
    POSITIVE LOGITS
    sighted
    0.83
    ths
    0.82
     miser
    0.80
    izabeth
    0.80
    falls
    0.80
    kat
    0.77
    lust
    0.71
    iths
    0.70
    nings
    0.69
    luster
    0.69
    Activations Density 0.040%

    No Known Activations