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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. 2-RES-JB
    11. 21047
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    Explanations

    phrases related to imprinting or marking

    oai_token-act-pair · gpt-3.5-turbo

    terms related to imprinting or marking processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gger
    -0.89
    ppe
    -0.86
    annis
    -0.82
    pp
    -0.77
    ppo
    -0.76
    cker
    -0.75
    ggle
    -0.74
    ctory
    -0.74
    ft
    -0.74
    PART
    -0.72
    POSITIVE LOGITS
     imprint
    1.29
     arrang
    0.91
     indo
    0.87
     ank
    0.85
     etched
    0.84
    iated
    0.83
    romeda
    0.83
     tremend
    0.82
    accompan
    0.81
    urated
    0.80
    Activations Density 0.025%

    No Known Activations