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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. 4-RES-JB
    11. 9339
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to openness and accessibility in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Kear
    -0.76
    _-
    -0.70
    kh
    -0.70
    upper
    -0.68
     Ballard
    -0.62
    kas
    -0.61
    zik
    -0.61
    ashtra
    -0.60
    bowl
    -0.60
    jad
    -0.60
    POSITIVE LOGITS
    SpaceEngineers
    0.81
    edo
    0.77
    izons
    0.74
    pires
    0.69
     Pandora
    0.69
    clave
    0.67
    ternity
    0.66
     backdoor
    0.65
    riott
    0.65
    ended
    0.63
    Activations Density 0.082%

    No Known Activations