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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. 4-RES-JB
    11. 2533
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    Explanations

    phrases indicating a lack of proximity or comparison to a certain level or standard

    oai_token-act-pair · gpt-3.5-turbo

    references to proximity or similarity in comparison

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

    No Comments

    Negative Logits
    abad
    -0.69
     Stream
    -0.66
     Ethiopian
    -0.66
     casc
    -0.65
    ãĤ¸
    -0.65
     Migration
    -0.65
     Fields
    -0.62
     Sheet
    -0.62
    ãĤ¹
    -0.61
     cascade
    -0.60
    POSITIVE LOGITS
     compr
    0.87
    osponsors
    0.83
    imus
    0.78
    enough
    0.78
    animous
    0.77
     enough
    0.71
    ĵĺ
    0.71
    asonable
    0.70
    pty
    0.70
    etrical
    0.70
    Activations Density 0.030%

    No Known Activations