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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. 1-RES-JB
    6. 4117
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    Explanations

    phrases related to mistakes, errors, flaws, and vulnerabilities

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with flaws and failures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avers
    -0.74
    ignt
    -0.73
     peanuts
    -0.70
    umption
    -0.67
    esta
    -0.67
    addle
    -0.67
    omers
    -0.66
    pta
    -0.66
    angel
    -0.64
     Primordial
    -0.64
    POSITIVE LOGITS
    lessly
    1.55
    ously
    1.09
    lessness
    1.08
    ably
    1.04
    nah
    0.95
    iously
    0.83
     flaw
    0.82
    itsu
    0.82
    tie
    0.80
    lier
    0.79
    Activations Density 0.014%

    No Known Activations