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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. 15180
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    INDEX
    Explanations

    phrases related to analyzing behaviors and actions

    oai_token-act-pair · gpt-3.5-turbo

    references to behavior and its various contexts or implications

    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
     Lank
    -0.70
    ixed
    -0.66
    inite
    -0.65
    ources
    -0.64
    zynski
    -0.64
     gloom
    -0.64
    weights
    -0.64
    gur
    -0.64
    inka
    -0.63
     Manz
    -0.63
    POSITIVE LOGITS
     modification
    1.02
     behavior
    1.00
     behaviors
    0.98
    avior
    0.97
    uation
    0.92
    uate
    0.91
    aviour
    0.89
     behaviour
    0.89
     behaviours
    0.89
    uated
    0.88
    Activations Density 0.026%

    No Known Activations