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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 "are"

    oai_token-act-pair · gpt-4-turbo

    the verb "are" used in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    repeated uses of the verb "are."

    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
    iates
    -0.68
    ossom
    -0.65
    iture
    -0.64
    urry
    -0.63
    enture
    -0.61
    oire
    -0.61
    town
    -0.61
    udeau
    -0.60
    culosis
    -0.60
    oting
    -0.59
    POSITIVE LOGITS
    senal
    1.00
    wolves
    1.00
     hereby
    0.98
    wolf
    0.88
    nt
    0.86
     not
    0.82
     supposed
    0.81
     also
    0.76
     currently
    0.75
     already
    0.74
    Activations Density 0.303%

    No Known Activations