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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. 9-RES-JB
    11. 19503
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    Explanations

    phrases related to going through a process or performing actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of navigating or enduring through processes or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nai
    -0.79
     Meow
    -0.71
    NPR
    -0.66
    aspberry
    -0.65
    Percent
    -0.64
    SPONSORED
    -0.63
    @#&
    -0.61
    acea
    -0.61
     AAP
    -0.59
    seless
    -0.59
    POSITIVE LOGITS
     motions
    1.23
     maze
    1.11
     hoops
    1.06
     checklist
    1.00
     haze
    0.98
     veins
    0.96
     stages
    0.90
     hurdle
    0.89
     turbulence
    0.88
     vetting
    0.88
    Activations Density 0.300%

    No Known Activations