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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. 6-RES-JB
    11. 24492
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    Explanations

    phrases related to providing information or making decisions based on specific criteria

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating source or basis of information and analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anke
    -0.80
    apo
    -0.72
    anamo
    -0.72
    xus
    -0.69
    URE
    -0.69
    assies
    -0.65
    "]=>
    -0.65
    adra
    -0.64
    odon
    -0.64
    ipal
    -0.63
    POSITIVE LOGITS
     assumption
    1.15
     premise
    1.04
     principles
    1.01
     assumptions
    0.95
     principle
    0.91
     criteria
    0.85
     whims
    0.84
     Principles
    0.83
     pree
    0.82
     goodwill
    0.79
    Activations Density 0.285%

    No Known Activations