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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. 2-RES-JB
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    Explanations

    the word "have"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "have"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Apart
    -0.60
     territ
    -0.57
    typ
    -0.57
     debacle
    -0.57
    —-
    -0.55
    catentry
    -0.55
     fiasco
    -0.55
     recalls
    -0.55
    arter
    -0.54
    wait
    -0.53
    POSITIVE LOGITS
     been
    1.31
    been
    1.08
     gotten
    1.02
     Been
    0.98
    gotten
    0.90
     undergone
    0.90
     done
    0.88
     seen
    0.87
     gone
    0.85
     taken
    0.84
    Activations Density 0.439%

    No Known Activations