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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 12725
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    Explanations

    phrases related to personal stories or experiences

    oai_token-act-pair · gpt-3.5-turbo

    mentions of personal experiences

    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
    sub
    -0.73
    hatt
    -0.71
    vous
    -0.66
     tumor
    -0.64
    cut
    -0.62
    apo
    -0.62
    law
    -0.61
    tra
    -0.61
    cise
    -0.61
     Sabha
    -0.61
    POSITIVE LOGITS
     experiences
    1.22
     Experience
    0.97
    iences
    0.97
     experien
    0.95
     experience
    0.91
    Experience
    0.85
    ttes
    0.82
     Exper
    0.82
    OWS
    0.80
    ivities
    0.79
    Activations Density 0.016%

    No Known Activations