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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. 12805
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    INDEX
    Explanations

    phrases related to maximizing effort or action

    oai_token-act-pair · gpt-3.5-turbo

    actions aimed at maximizing efficiency or preserving resources

    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
    head
    -0.81
    itialized
    -0.68
    roth
    -0.67
     congr
    -0.60
    livious
    -0.59
    heads
    -0.59
    bda
    -0.59
    ATOR
    -0.59
    LOAD
    -0.58
    ysc
    -0.58
    POSITIVE LOGITS
     practicable
    1.33
     possible
    1.32
     feasible
    1.20
     necessary
    1.14
    necessary
    1.09
     appropriate
    1.06
     Possible
    0.95
    appropriate
    0.92
     imaginable
    0.92
     feas
    0.92
    Activations Density 0.330%

    No Known Activations