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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. 2-RES-JB
    11. 4431
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    Explanations

    references to default settings or configurations

    oai_token-act-pair · gpt-3.5-turbo

    references to default settings and configurations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atform
    -0.88
    ropolitan
    -0.79
    ales
    -0.78
    borough
    -0.76
    rolley
    -0.69
    abolic
    -0.69
    EAR
    -0.68
    oria
    -0.68
    aph
    -0.68
    areth
    -0.67
    POSITIVE LOGITS
     defaults
    1.16
     default
    1.01
     behaviour
    0.92
     behavior
    0.86
    dict
    0.84
     settings
    0.83
    icter
    0.81
     behav
    0.74
     aggress
    0.72
     Default
    0.71
    Activations Density 0.007%

    No Known Activations