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    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. 6583
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    Explanations

    numbers at the beginning of sentences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number "1."

    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
    awaru
    -0.92
     Lumpur
    -0.82
    ategory
    -0.77
    apon
    -0.75
    usalem
    -0.70
    thinkable
    -0.67
    ato
    -0.67
    unicip
    -0.65
    orative
    -0.65
    rador
    -0.64
    POSITIVE LOGITS
    st
    1.28
    Password
    1.19
    125
    1.11
    120
    1.10
    000000
    1.05
    128
    0.97
    0000000
    0.87
    âģ
    0.83
    123
    0.82
     sqor
    0.77
    Activations Density 0.093%

    No Known Activations