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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. 6-RES-JB
    11. 7445
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    Explanations

    phrases or terms associated with preferred choices or reliable options

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating preferences or standard practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olation
    -0.67
    adoes
    -0.60
    ancies
    -0.60
    apy
    -0.59
    gamer
    -0.59
    areth
    -0.59
    ecycle
    -0.58
    alcohol
    -0.58
     Sapp
    -0.58
     ACPI
    -0.58
    POSITIVE LOGITS
     motivating
    1.05
     preferred
    0.96
     inspiration
    0.95
     casualty
    0.94
     deciding
    0.93
     motiv
    0.93
     favored
    0.91
     priority
    0.90
     impetus
    0.90
     motivation
    0.90
    Activations Density 0.690%

    No Known Activations