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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. 7470
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    Explanations

    the word "talented" with varying degrees of activation

    oai_token-act-pair · gpt-3.5-turbo

    the word "talented" in various contexts

    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
    FACE
    -0.68
     Cheong
    -0.67
    ETA
    -0.65
    alone
    -0.65
    cart
    -0.65
    adish
    -0.63
    ocene
    -0.63
    classic
    -0.62
    intestinal
    -0.60
    ptions
    -0.60
    POSITIVE LOGITS
     talents
    1.11
     talent
    0.99
    glers
    0.90
     minds
    0.89
    anooga
    0.83
    nesses
    0.80
     talented
    0.80
    ness
    0.80
     entreprene
    0.77
     minded
    0.77
    Activations Density 0.010%

    No Known Activations