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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. 8-RES-JB
    11. 19399
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    Explanations

    words related to ultimate decisions or actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to neutrons and their experimental contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.75
    externalActionCode
    -0.67
    kefeller
    -0.63
    velt
    -0.61
     Regions
    -0.60
     Blaz
    -0.60
    heid
    -0.59
    $$$$
    -0.59
     pestic
    -0.59
    oning
    -0.58
    POSITIVE LOGITS
    GMT
    0.76
    Spec
    0.72
    itionally
    0.72
    hower
    0.70
    ortunately
    0.70
    Wan
    0.67
    ables
    0.67
    iple
    0.65
    bit
    0.64
    aki
    0.63
    Activations Density 0.163%

    No Known Activations