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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. 3-RES-JB
    11. 15492
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    Explanations

    phrases related to experiences or actions that are fulfilling or satisfying

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to feelings of reward and satisfaction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ariat
    -0.83
    sup
    -0.70
    orah
    -0.69
    olog
    -0.68
    dt
    -0.66
    say
    -0.66
    etry
    -0.65
    FIN
    -0.64
    mut
    -0.64
    DNA
    -0.64
    POSITIVE LOGITS
    ly
    1.07
    inventoryQuantity
    0.81
    LY
    0.78
    tons
    0.77
    theless
    0.76
     environments
    0.75
     tasks
    0.74
     unsolved
    0.73
     enough
    0.73
     rewarding
    0.73
    Activations Density 0.052%

    No Known Activations