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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
    11. 11598
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    Explanations

    words related to organizations and entities like names of institutions and acronyms

    oai_token-act-pair · gpt-3.5-turbo

    references to international agencies or organizations, particularly the IAEA

    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
    ipeg
    -0.96
    anova
    -0.78
    mie
    -0.76
    istically
    -0.76
    hips
    -0.72
    intendent
    -0.72
    ingham
    -0.72
    antha
    -0.72
    ioned
    -0.72
    etti
    -0.70
    POSITIVE LOGITS
    AE
    1.09
    gypt
    1.06
     plur
    0.83
    lling
    0.81
    ngth
    0.79
    velop
    0.77
    IU
    0.76
    LL
    0.75
    qual
    0.74
    ZE
    0.74
    Activations Density 0.008%

    No Known Activations