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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. 3-RES-JB
    11. 24071
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    INDEX
    Explanations

    names consisting of a specific sequence of letters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or key individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ICAN
    -0.85
    ulative
    -0.82
    ãĤ¹ãĥĪ
    -0.80
    ãĤº
    -0.77
     Britann
    -0.72
    BOOK
    -0.71
    çĶ°
    -0.70
    Tube
    -0.69
    ulator
    -0.68
    PU
    -0.67
    POSITIVE LOGITS
    nington
    0.84
    agher
    0.82
    nel
    0.79
    otaur
    0.77
    aturdays
    0.76
    issan
    0.76
    bright
    0.75
    nen
    0.75
    nes
    0.73
    leigh
    0.73
    Activations Density 0.021%

    No Known Activations