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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. 0-RES-JB
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    Explanations

    adjectives describing something challenging or requiring effort

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "difficult" and its associated contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oms
    -0.70
    amac
    -0.69
    rite
    -0.67
    otin
    -0.66
    ithe
    -0.63
    iton
    -0.63
    ril
    -0.62
    opsis
    -0.61
    *:
    -0.61
    iar
    -0.60
    POSITIVE LOGITS
     difficult
    3.13
     tricky
    2.12
     challenging
    1.91
     tough
    1.89
     impossible
    1.85
     harder
    1.77
     daunting
    1.72
     complicated
    1.70
     hard
    1.68
     painful
    1.63
    Activations Density 0.021%

    No Known Activations