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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. 10-RES-JB
    6. 9855
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    Explanations

    phrases related to specific or unspecified situations or scenarios

    oai_token-act-pair · gpt-3.5-turbo

    references to various "things" that imply topics or concepts under discussion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avorite
    -0.68
    incinn
    -0.63
     Telecommunications
    -0.60
     KM
    -0.60
     Facility
    -0.59
    oufl
    -0.59
    asers
    -0.57
    ynski
    -0.57
    ãĥ©ãĥ³
    -0.56
    ped
    -0.56
    POSITIVE LOGITS
    iverse
    1.21
     happening
    1.10
     happened
    1.05
     happen
    0.90
     happens
    0.90
    Else
    0.83
     happ
    0.82
    ional
    0.82
    y
    0.81
     else
    0.81
    Activations Density 0.044%

    No Known Activations