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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. 3-RES-JB
    11. 2828
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    Explanations

    references to contact information or communication methods

    oai_token-act-pair · gpt-3.5-turbo

    terms related to contact information and communication

    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
    corn
    -0.89
    reci
    -0.77
    ARR
    -0.71
    cott
    -0.69
    bow
    -0.69
    comb
    -0.65
    haul
    -0.63
    OIL
    -0.62
    qual
    -0.62
    perm
    -0.60
    POSITIVE LOGITS
     contact
    1.00
    imei
    0.93
     lenses
    0.93
     contacts
    0.93
    ysis
    0.91
    iquette
    0.87
    kson
    0.85
    ioned
    0.84
     Contact
    0.79
    Contact
    0.76
    Activations Density 0.021%

    No Known Activations