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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. 6-RES-JB
    6. 24088
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    Explanations

    phrases indicating a topic or issue being brought up or discussed

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "come up" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ially
    -0.76
    gee
    -0.71
    ritical
    -0.71
    robe
    -0.69
     CLSID
    -0.67
    reat
    -0.65
    ow
    -0.61
    otta
    -0.61
    pi
    -0.60
    closure
    -0.59
    POSITIVE LOGITS
    river
    0.84
     sooner
    0.74
     somewhere
    0.74
     everywhere
    0.72
     elsewhere
    0.69
    BACK
    0.68
     spontaneously
    0.68
     Caller
    0.65
     anywhere
    0.65
     nowhere
    0.65
    Activations Density 0.060%

    No Known Activations