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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 15392
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    Explanations

    phrases or words mentioning a specific action or event being named or referred to

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "called" used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bilt
    -0.79
     istg
    -0.71
    edia
    -0.68
    LM
    -0.66
    LOD
    -0.65
    yip
    -0.65
    Cub
    -0.64
    TPS
    -0.63
    flix
    -0.62
    insula
    -0.62
    POSITIVE LOGITS
    call
    0.77
    calling
    0.74
     calling
    0.72
    @#&
    0.71
    igraph
    0.69
     upon
    0.69
     Call
    0.68
     attention
    0.67
     forth
    0.64
     Calling
    0.62
    Activations Density 0.042%

    No Known Activations