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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. 4-RES-JB
    11. 6346
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    Explanations

    adjectives describing difficulty or challenges

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "hard" indicating difficulty or challenge

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

    No Comments

    Negative Logits
    umbn
    -0.81
    eret
    -0.71
    umbnail
    -0.69
     Loaded
    -0.65
    entric
    -0.65
    MT
    -0.65
    soType
    -0.63
    article
    -0.63
    issue
    -0.63
    ixture
    -0.62
    POSITIVE LOGITS
    imaru
    0.79
     enough
    0.78
     deflation
    0.73
    coded
    0.72
     harder
    0.72
     circumst
    0.69
     easy
    0.68
    entimes
    0.67
     Pepe
    0.67
    oooooooo
    0.66
    Activations Density 0.036%

    No Known Activations