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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. 16080
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    Explanations

    verbs indicating change or progress

    oai_token-act-pair · gpt-3.5-turbo

    verbs and phrases indicating growth or change

    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
     Sphere
    -0.72
     arri
    -0.69
     viz
    -0.69
    »Ĵ
    -0.66
     Brit
    -0.63
    esides
    -0.63
     Suc
    -0.63
     Sud
    -0.62
     Princ
    -0.62
     Tac
    -0.61
    POSITIVE LOGITS
    owship
    0.75
    ilial
    0.71
    pend
    0.70
     parity
    0.68
    daq
    0.67
    ulate
    0.67
    leground
    0.65
     defenses
    0.65
    nell
    0.64
    leep
    0.64
    Activations Density 0.210%

    No Known Activations