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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. 24010
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    INDEX
    Explanations

    descriptions of events or situations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of opinion or commentary on situations

    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
    tz
    -0.58
    bowl
    -0.54
    agos
    -0.54
    rax
    -0.54
    zac
    -0.51
    xia
    -0.50
    itta
    -0.49
     Orb
    -0.48
    igate
    -0.47
    atown
    -0.47
    POSITIVE LOGITS
     accordingly
    1.05
     thereafter
    0.88
     therein
    0.85
     thereof
    0.81
     consequently
    0.72
     thereto
    0.72
     afterward
    0.66
     afterwards
    0.61
     subsequently
    0.59
     alike
    0.57
    Activations Density 1.258%

    No Known Activations