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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 23649
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    Explanations

    phrases related to being well-developed or well-established

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "well" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iferation
    -0.83
    ategory
    -0.76
    hyde
    -0.74
    hip
    -0.72
    ón
    -0.68
    IENCE
    -0.66
    rely
    -0.65
    ataka
    -0.64
    atto
    -0.63
    ongyang
    -0.61
    POSITIVE LOGITS
    spring
    0.95
    enough
    0.88
    esley
    0.83
    ards
    0.81
    planned
    0.75
    reads
    0.74
    marked
    0.74
     suited
    0.74
     behaved
    0.71
    mark
    0.71
    Activations Density 0.037%

    No Known Activations