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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. 6-RES-JB
    6. 21112
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    Explanations

    phrases indicating large quantities or numbers

    oai_token-act-pair · gpt-3.5-turbo

    phrases that use the indefinite article "a" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Introduced
    -0.81
    DAQ
    -0.79
    OWER
    -0.66
    hess
    -0.65
    arios
    -0.65
    ONEY
    -0.65
    ãĥ¡
    -0.63
     Seat
    -0.62
    ãĤ´
    -0.62
    76561
    -0.62
    POSITIVE LOGITS
     dozen
    0.69
    iably
    0.63
    isse
    0.62
     symbolic
    0.62
     cous
    0.59
     coincidence
    0.59
    dozen
    0.59
     mundane
    0.59
     plate
    0.58
    usual
    0.58
    Activations Density 0.079%

    No Known Activations