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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. 9-RES-JB
    11. 18300
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    Explanations

    adjectives related to difficulty or challenge

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing difficulty or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    afety
    -0.81
    erity
    -0.72
    emetery
    -0.71
     Nationwide
    -0.71
    plates
    -0.62
     Sheep
    -0.60
     Stories
    -0.60
    padding
    -0.60
    eur
    -0.59
    ness
    -0.59
    POSITIVE LOGITS
     obtain
    1.11
     quantify
    1.11
     navigate
    1.11
     attain
    1.10
     comprehend
    1.09
     mathemat
    1.09
     achieve
    1.08
     reconcile
    1.05
     emulate
    1.05
     manipulate
    1.02
    Activations Density 0.072%

    No Known Activations