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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. 3603
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    Explanations

    words indicating a specific status or function in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe products or items in relation to their function or form

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    oller
    -0.79
    itiveness
    -0.70
    aghan
    -0.69
    ivas
    -0.67
    itsch
    -0.64
    uca
    -0.63
    erest
    -0.62
    iger
    -0.61
    romy
    -0.61
    ech
    -0.61
    POSITIVE LOGITS
    ynchron
    1.08
    pired
    1.08
    pires
    1.05
    phy
    1.04
    part
    1.02
     soon
    0.97
     opposed
    0.97
     part
    0.94
     follows
    0.92
    ylum
    0.85
    Activations Density 0.159%

    No Known Activations