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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. 21921
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    INDEX
    Explanations

    verbs followed by the preposition "to" signaling intention or purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing intentions or desires to take action

    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
    river
    -0.70
     Feld
    -0.65
     Lima
    -0.64
     unwillingness
    -0.60
     indications
    -0.60
    nces
    -0.60
     Plain
    -0.59
     Cosponsors
    -0.58
     Mint
    -0.58
    ergy
    -0.58
    POSITIVE LOGITS
     accomplish
    1.10
     achieve
    1.01
     improve
    0.96
     emulate
    0.91
     solve
    0.90
     perform
    0.88
     bring
    0.86
     occupy
    0.85
     unleash
    0.85
     consume
    0.84
    Activations Density 0.117%

    No Known Activations