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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. 7-RES-JB
    11. 14191
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    Explanations

    adjectives ending in 'ful'

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ernels
    -0.77
    Downloadha
    -0.74
    Phones
    -0.74
    ISC
    -0.73
    ivari
    -0.73
    ovan
    -0.71
    atform
    -0.69
    heit
    -0.65
    ocl
    -0.65
    ribe
    -0.65
    POSITIVE LOGITS
    terday
    0.96
    theless
    0.93
    filled
    0.80
    NESS
    0.79
     indictment
    0.73
     Ago
    0.70
     ignorance
    0.69
     idiots
    0.67
    tarian
    0.65
    ment
    0.65
    Activations Density 0.040%

    No Known Activations