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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. 3-RES-JB
    11. 5897
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    Explanations

    phrases describing being at the forefront or leading in a particular field or industry

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize being at the forefront of a movement or field

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     inval
    -0.67
    andro
    -0.65
     triv
    -0.64
    ullah
    -0.64
    ope
    -0.61
    resp
    -0.61
    atto
    -0.61
    ander
    -0.59
    arij
    -0.58
    License
    -0.57
    POSITIVE LOGITS
     forefront
    0.94
    wcs
    0.77
    mast
    0.74
    ï¸
    0.74
    stones
    0.74
    cil
    0.72
    shore
    0.71
     thinkers
    0.70
    )=(
    0.66
    rontal
    0.66
    Activations Density 0.008%

    No Known Activations