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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. 10-RES-JB
    11. 5458
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    Explanations

    the word "Jag" in the text

    oai_token-act-pair · gpt-3.5-turbo

    specific character names or titles related to the film or story context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĨĴ
    -0.79
    OCK
    -0.73
    terday
    -0.69
    theless
    -0.67
    xual
    -0.66
    YING
    -0.66
    IGHT
    -0.64
    EMBER
    -0.61
    âĶĢâĶĢ
    -0.60
    ensitive
    -0.59
    POSITIVE LOGITS
    gers
    1.16
    lia
    1.11
    glers
    1.10
    gery
    1.05
    oda
    1.02
    lasses
    1.01
    adish
    1.01
    arin
    0.98
    rod
    0.98
    gy
    0.97
    Activations Density 0.058%

    No Known Activations