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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. 12-RES-JB
    11. 4516
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    Explanations

    phrases related to stamping or imprinting

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to stamps and stamping activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izons
    -0.63
     Skip
    -0.59
    ties
    -0.59
     Kut
    -0.59
    mic
    -0.57
    SE
    -0.56
    Spoiler
    -0.56
    sung
    -0.55
    mos
    -0.55
     navig
    -0.55
    POSITIVE LOGITS
    eding
    1.09
    urized
    0.80
    urbed
    0.80
    itious
    0.79
     Duty
    0.79
    arding
    0.77
    ard
    0.76
     duty
    0.73
    oos
    0.72
    achusetts
    0.71
    Activations Density 0.042%

    No Known Activations