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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. 7-RES-JB
    11. 15221
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    INDEX
    Explanations

    phrases related to various appointments or events, potentially involving professional or public life

    oai_token-act-pair · gpt-3.5-turbo

    prepositional phrases indicating purpose or reason

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    `
    -0.76
    ´
    -0.69
    MJ
    -0.69
    ]'
    -0.66
    glass
    -0.65
    Ohio
    -0.64
     ®
    -0.63
    Owner
    -0.61
    beat
    -0.61
    Dutch
    -0.59
    POSITIVE LOGITS
    geries
    1.02
     reasons
    0.97
     example
    0.94
     purposes
    0.94
     instance
    0.90
    gery
    0.87
    aging
    0.84
    ked
    0.82
     awhile
    0.81
    gotten
    0.81
    Activations Density 0.213%

    No Known Activations