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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. 9-RES-JB
    11. 2617
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific pronoun

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pregn
    -0.72
     guiActiveUnfocused
    -0.65
     Voltage
    -0.63
     +/-
    -0.63
     AWS
    -0.61
     Gems
    -0.60
     Veter
    -0.59
     intrusive
    -0.59
     GEAR
    -0.58
     reinforcement
    -0.58
    POSITIVE LOGITS
    zbollah
    1.47
    resy
    1.40
    avier
    1.34
    aven
    1.33
    gemony
    1.33
    ather
    1.27
    ldon
    1.23
    pherd
    1.16
    reditary
    1.15
    aling
    1.13
    Activations Density 0.139%

    No Known Activations