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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. 13253
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    Explanations

    phrases related to specific names or places, specifically those starting with "Har"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Har."

    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
    éĹĺ
    -0.93
    eers
    -0.75
     Tone
    -0.71
    ĸļ
    -0.69
    URES
    -0.68
    UCT
    -0.66
     Emir
    -0.65
    REDACTED
    -0.64
    anwhile
    -0.64
    xual
    -0.63
    POSITIVE LOGITS
    rier
    1.12
    assment
    1.11
    rod
    1.09
    riers
    1.08
    vard
    1.04
    rim
    1.02
    rah
    1.02
    rowing
    0.96
    ried
    0.96
    assed
    0.91
    Activations Density 0.025%

    No Known Activations