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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. 18195
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    INDEX
    Explanations

    complex or difficult situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "complicated" in various contexts

    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
    ablishment
    -0.82
    vation
    -0.77
    PU
    -0.74
    uin
    -0.72
    inth
    -0.72
    inals
    -0.69
    ighth
    -0.68
    Chance
    -0.67
    ult
    -0.66
    apons
    -0.66
    POSITIVE LOGITS
     complicate
    0.99
     complicated
    0.92
     misunderstand
    0.84
     convoluted
    0.81
     Mysteries
    0.77
     baff
    0.76
    ioned
    0.76
     unnecess
    0.75
     logistical
    0.73
    icult
    0.72
    Activations Density 0.016%

    No Known Activations