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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. 10-RES-JB
    6. 226
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    INDEX
    Explanations

    references to specific time periods and ages

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences and memories associated with reading and age

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ÂŃ
    -1.39
    âĢij
    -1.03
    —
    -1.02
    ÂŃ
    -0.98
    —"
    -0.97
     âĢķ
    -0.95
    "—
    -0.93
    Åį
    -0.88
     —
    -0.86
    Enlarge
    -0.85
    POSITIVE LOGITS
     alot
    1.63
     doesnt
    1.47
     didnt
    1.47
     dont
    1.37
     thru
    1.36
     HUGE
    1.26
     VERY
    1.22
     ONLY
    1.18
     tho
    1.15
     EVERY
    1.15
    Activations Density 1.842%

    No Known Activations