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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. 9-RES-JB
    11. 23747
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    Explanations

    phrases related to actions or changes being made

    oai_token-act-pair · gpt-3.5-turbo

    references to changes, updates, or modifications in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    antes
    -0.83
    à¼
    -0.81
    $$$$
    -0.79
    UTH
    -0.77
    apest
    -0.75
    busters
    -0.70
    =#
    -0.70
    ^{
    -0.69
     ALWAYS
    -0.69
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.69
    POSITIVE LOGITS
     varying
    1.04
     various
    0.86
     including
    0.82
     different
    0.81
     regard
    0.77
     disparate
    0.76
     differing
    0.75
     ranging
    0.73
     vicinity
    0.72
     contrasting
    0.70
    Activations Density 0.789%

    No Known Activations