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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. 17898
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    INDEX
    Explanations

    numerical values with decimal points

    oai_token-act-pair · gpt-3.5-turbo

    the repeated 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
    orial
    -0.80
    urated
    -0.78
    matic
    -0.78
    ktop
    -0.74
    raints
    -0.72
    uay
    -0.72
     primates
    -0.71
     condem
    -0.68
    ulative
    -0.66
     Instr
    -0.65
    POSITIVE LOGITS
    âĶĢâĶĢ
    1.24
    âĶĢâĶĢâĶĢâĶĢ
    0.98
    ï¸ı
    0.95
    λ
    0.94
    ×Ķ
    0.94
    ×ķ
    0.92
    Ĺ
    0.92
    Ķ
    0.91
    ĺ
    0.91
    jj
    0.90
    Activations Density 0.272%

    No Known Activations