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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. 6-RES-JB
    11. 24471
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    Explanations

    adjectives related to difficulty or quality

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and phrases describing ease, difficulty, or quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    steps
    -0.82
    iddles
    -0.81
    jen
    -0.75
     Posts
    -0.74
    ateurs
    -0.73
    ATURES
    -0.71
    Ħ¢
    -0.69
    ntil
    -0.66
     Surve
    -0.66
    ortunately
    -0.65
    POSITIVE LOGITS
     knack
    1.18
     tendency
    1.07
     penchant
    1.00
     reputation
    0.95
     relationship
    0.94
     chance
    0.94
     grasp
    0.93
     opportunity
    0.93
     inclination
    0.91
     foothold
    0.90
    Activations Density 0.223%

    No Known Activations