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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. 5-RES-JB
    6. 20161
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    INDEX
    Explanations

    phrases related to rationale or reasoning for certain actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to explanations and justifications for actions or beliefs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    semble
    -0.88
    redd
    -0.75
    oner
    -0.69
    chance
    -0.69
    rop
    -0.67
    zig
    -0.66
    plet
    -0.65
    hold
    -0.65
    chin
    -0.65
    omez
    -0.65
    POSITIVE LOGITS
     rationale
    1.13
     why
    1.02
     justification
    0.96
    SourceFile
    0.93
     justifying
    0.92
     reasoning
    0.87
     behind
    0.86
     WHY
    0.84
     underpin
    0.78
     justify
    0.78
    Activations Density 0.025%

    No Known Activations