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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. 4-RES-JB
    11. 7461
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    INDEX
    Explanations

    common occurrences or activities

    oai_token-act-pair · gpt-3.5-turbo

    recurring phrases that highlight frequency or repetition

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

    No Comments

    Negative Logits
    utenberg
    -0.81
    plates
    -0.73
    gae
    -0.71
    agate
    -0.69
    oops
    -0.69
    ENE
    -0.68
    abad
    -0.67
    gur
    -0.65
    VR
    -0.65
     Showdown
    -0.65
    POSITIVE LOGITS
    entimes
    1.50
     overlooked
    1.07
    theless
    1.01
     resorted
    0.92
     touted
    0.90
     encountered
    0.90
     misunderstood
    0.89
     referred
    0.88
     cited
    0.87
     times
    0.86
    Activations Density 0.034%

    No Known Activations