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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. 1-RES-JB
    11. 12850
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    Explanations

    adjectives related to difficult or challenging situations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to challenges or difficulties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orp
    -0.79
    anwhile
    -0.79
    zsche
    -0.76
    ulet
    -0.74
    aviour
    -0.73
    uters
    -0.73
    gemony
    -0.72
    eed
    -0.72
    ork
    -0.71
    orter
    -0.71
    POSITIVE LOGITS
     daunting
    1.26
     insur
    1.00
     intimidating
    0.91
     formidable
    0.91
     obstacle
    0.89
     hurdle
    0.84
     unbeliev
    0.82
     inev
    0.81
     prohib
    0.81
     cumbers
    0.80
    Activations Density 0.019%

    No Known Activations