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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. 16389
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    Explanations

    adjective phrases describing characteristics or features

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the word "that" or similar connecting clauses

    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
    Ü
    -0.86
    د
    -0.68
    VERTISEMENT
    -0.68
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.68
    Article
    -0.66
    ÃįÃį
    -0.65
    LOCK
    -0.65
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.63
    GROUP
    -0.63
     GEAR
    -0.63
    POSITIVE LOGITS
    ighty
    0.74
    uden
    0.74
    yip
    0.70
    hin
    0.69
    teenth
    0.69
    ucha
    0.67
    hani
    0.66
    ieth
    0.65
     hemisphere
    0.65
    ousand
    0.65
    Activations Density 0.256%

    No Known Activations