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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 3297
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    INDEX
    Explanations

    instances where the text talks about a significant effort or focus on specific details

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with struggles or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    line
    -0.69
    ENCE
    -0.65
    Brazil
    -0.65
    SW
    -0.64
    own
    -0.63
    lia
    -0.63
    entity
    -0.63
    IED
    -0.62
    stown
    -0.61
    س
    -0.60
    POSITIVE LOGITS
    uits
    1.06
    cale
    1.04
    terday
    1.01
    hirt
    0.97
    mith
    0.95
    hops
    0.94
    hell
    0.93
    hift
    0.89
    hooting
    0.86
    terness
    0.85
    Activations Density 0.027%

    No Known Activations