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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. 1-RES-JB
    11. 2598
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    Explanations

    phrases related to reaping benefits or rewards

    oai_token-act-pair · gpt-3.5-turbo

    terms related to benefits or outcomes associated with effort or investment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     skelet
    -0.90
    staff
    -0.75
    inel
    -0.69
    uve
    -0.67
     inspecting
    -0.66
    grave
    -0.66
    ently
    -0.65
    tering
    -0.65
     sob
    -0.63
     fisher
    -0.63
    POSITIVE LOGITS
     mileage
    1.04
     reap
    0.84
    uled
    0.83
    RR
    0.75
     Polo
    0.74
    hiba
    0.73
    Reward
    0.70
    20439
    0.69
     derive
    0.69
    displayText
    0.68
    Activations Density 0.025%

    No Known Activations