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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. 3-RES-JB
    6. 14546
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    Explanations

    references to different levels or parts of a structure, with a particular focus on the upper part

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "upper" related to classes, bodies, or positions

    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
    tnc
    -0.93
     Machina
    -0.89
    printf
    -0.75
    uality
    -0.74
    eln
    -0.71
     Killer
    -0.69
     Frankenstein
    -0.69
     Hurricanes
    -0.67
     Pok
    -0.66
    HCR
    -0.66
    POSITIVE LOGITS
    most
    1.02
     shaft
    0.87
    bridge
    0.81
     jaw
    0.79
     earners
    0.78
     thigh
    0.77
     precedence
    0.76
    ĸļ士
    0.76
     bounds
    0.75
     respiratory
    0.74
    Activations Density 0.014%

    No Known Activations