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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. 5331
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    INDEX
    Explanations

    alphanumeric characters and their combination patterns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    mathematical expressions and operations

    oai_token-act-pair · gpt-3.5-turbo
    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
    netflix
    -1.12
    seys
    -0.87
    ersive
    -0.82
    DragonMagazine
    -0.81
    VILLE
    -0.76
    CTV
    -0.74
    SOURCE
    -0.74
    weeney
    -0.72
    ombies
    -0.71
    indal
    -0.70
    POSITIVE LOGITS
    xd
    1.03
    xe
    0.99
    xc
    0.89
    xf
    0.88
    xa
    0.87
    xb
    0.84
     Hex
    0.82
     defensively
    0.74
     decisive
    0.74
    gging
    0.70
    Activations Density 0.057%

    No Known Activations