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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. 4889
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    Explanations

    phrases related to hypothetical scenarios and assumptions

    oai_token-act-pair · gpt-3.5-turbo

    hypothetical scenarios or conditional statements

    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
    Ô
    -0.72
     unfocusedRange
    -0.72
    "},
    -0.71
    tro
    -0.71
    BuyableInstoreAndOnline
    -0.68
    omore
    -0.64
    alo
    -0.64
    lime
    -0.64
    erved
    -0.63
    rongh
    -0.62
    POSITIVE LOGITS
     Suppose
    1.11
     hypot
    1.06
     imagine
    0.94
     suppose
    0.84
     somebody
    0.75
     someone
    0.75
     hypothetical
    0.75
     computing
    0.72
     Imagine
    0.67
     scenario
    0.65
    Activations Density 0.241%

    No Known Activations