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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. 10-RES-JB
    11. 1034
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    Explanations

    the word "be" at different intensities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "be" in various forms and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     LAT
    -0.70
    éĹĺ
    -0.68
    oway
    -0.66
    udi
    -0.66
     Cheong
    -0.65
    76561
    -0.65
    orsi
    -0.63
    isode
    -0.61
    plings
    -0.61
    edIn
    -0.60
    POSITIVE LOGITS
     easier
    1.28
     tempting
    1.27
     raining
    1.19
     difficult
    1.15
     impossible
    1.14
     possible
    1.10
     worthwhile
    1.09
     awhile
    1.09
     easy
    1.08
     interesting
    1.06
    Activations Density 0.122%

    No Known Activations