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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. 7-RES-JB
    11. 12666
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    Explanations

    terms related to achieving or obtaining something through effort or negotiation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to obtaining or acquiring something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bow
    -0.75
    psc
    -0.74
    spin
    -0.69
    lins
    -0.68
    udi
    -0.68
    Cola
    -0.67
    gom
    -0.67
    bus
    -0.66
    example
    -0.66
    embed
    -0.65
    POSITIVE LOGITS
     assurances
    0.87
     approval
    0.86
     ratification
    0.85
     clearance
    0.84
    uckland
    0.83
     footing
    0.81
     victory
    0.79
     passage
    0.79
     victories
    0.78
     approvals
    0.77
    Activations Density 0.041%

    No Known Activations