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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. 3-RES-JB
    11. 21125
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    INDEX
    Explanations

    mentions of specific terms like "ľ" and "ľ9" in the text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the character "l" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    matic
    -0.76
     apes
    -0.71
    raints
    -0.69
    */(
    -0.68
    orial
    -0.68
     condem
    -0.68
     primates
    -0.67
     Courier
    -0.65
     scorp
    -0.64
     Instr
    -0.62
    POSITIVE LOGITS
    âĶĢâĶĢ
    1.17
    ï¸ı
    1.04
    uthor
    0.91
    âĢł
    0.90
    jj
    0.87
    °
    0.86
    âĸł
    0.83
    ··
    0.83
    âĶĢâĶĢâĶĢâĶĢ
    0.82
    âĵĺ
    0.82
    Activations Density 0.291%

    No Known Activations