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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. 10-RES-JB
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    Explanations

    the word "anything"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "anything" and variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ospels
    -0.71
    idem
    -0.70
    eme
    -0.69
    undo
    -0.69
    oliath
    -0.67
    pling
    -0.65
    ruck
    -0.64
    ecake
    -0.64
    pb
    -0.64
    appers
    -0.64
    POSITIVE LOGITS
     else
    1.46
    Else
    1.16
     resembling
    1.11
     Else
    1.08
     imaginable
    1.02
     remotely
    1.01
     happening
    0.90
     pertaining
    0.89
    BuyableInstoreAndOnline
    0.83
    else
    0.81
    Activations Density 0.052%

    No Known Activations