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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. 7-RES-JB
    6. 20072
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    Explanations

    the word "no"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "no" or its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iership
    -0.81
    realDonaldTrump
    -0.72
    minster
    -0.72
    rious
    -0.68
    lycer
    -0.68
    RAFT
    -0.66
    rosse
    -0.64
    ual
    -0.64
    idable
    -0.63
    IUM
    -0.62
    POSITIVE LOGITS
    xious
    1.16
    zzle
    1.00
    emi
    0.92
     longer
    0.91
     matter
    0.89
    obs
    0.88
    ise
    0.88
    terday
    0.88
    vel
    0.87
    except
    0.81
    Activations Density 0.064%

    No Known Activations