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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 17574
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    Explanations

    references to masks

    oai_token-act-pair · gpt-3.5-turbo

    references to masks and their various representations or contexts

    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
    GGGGGGGG
    -0.76
    lished
    -0.74
    ALLY
    -0.71
    ally
    -0.68
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.68
     FANT
    -0.67
    athan
    -0.67
    rian
    -0.66
    APH
    -0.66
    scill
    -0.66
    POSITIVE LOGITS
     masks
    1.16
     mask
    1.15
    resses
    0.99
     Mask
    0.98
    mask
    0.89
    olin
    0.85
     concealed
    0.78
    Mask
    0.76
     wearer
    0.76
    lain
    0.75
    Activations Density 0.010%

    No Known Activations