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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 8003
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to controversial or negative outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    itialized
    -0.64
    OUP
    -0.59
    eport
    -0.58
    onom
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    rophe
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     Powered
    -0.53
    iple
    -0.53
    GW
    -0.52
    uum
    -0.49
     Redmond
    -0.49
    POSITIVE LOGITS
     thereby
    0.78
    anwhile
    0.67
     respectively
    0.66
    76561
    0.63
    )).
    0.62
    SPONSORED
    0.59
    consider
    0.59
     consequently
    0.59
    thus
    0.59
     culminating
    0.58
    Activations Density 1.688%

    No Known Activations