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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. 16602
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    Explanations

    technical specifications related to cameras and electronic devices, particularly focusing on sensor sizes and resolutions

    oai_token-act-pair · gpt-3.5-turbo

    quotation marks in the text

    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
     challeng
    -0.78
     plateau
    -0.69
    etheless
    -0.68
    ailed
    -0.68
    İĭ
    -0.67
    Ļ½
    -0.65
     hig
    -0.64
     describ
    -0.64
    odon
    -0.63
     isolated
    -0.63
    POSITIVE LOGITS
    /"
    0.98
    eous
    0.83
    Temperature
    0.81
    False
    0.81
    Creat
    0.80
    Reply
    0.79
    Ax
    0.79
    Stud
    0.76
    quickShipAvailable
    0.76
     />
    0.75
    Activations Density 0.060%

    No Known Activations