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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. 12-RES-JB
    11. 3808
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    Explanations

    words related to opinions and preferences

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    words indicating dislike or negative feelings toward something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lighting
    -0.77
     Clear
    -0.68
     formula
    -0.64
     principal
    -0.63
     mortal
    -0.62
     pill
    -0.62
     blanket
    -0.60
     white
    -0.60
     Charm
    -0.60
     global
    -0.59
    POSITIVE LOGITS
    oyal
    1.83
    ikes
    1.76
    iking
    1.74
    ocated
    1.53
    ocation
    1.50
    odge
    1.48
    iked
    1.38
    ocate
    1.36
    uggage
    1.19
    ocations
    1.15
    Activations Density 0.038%

    No Known Activations