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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. 10-RES-JB
    11. 4765
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    Explanations

    explicitly negative or critical language, including curses and insults

    oai_token-act-pair · gpt-3.5-turbo

    negative or derogatory phrases and expressions

    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
     discretionary
    -0.68
     Feder
    -0.68
     unob
    -0.67
     Administration
    -0.66
     Interior
    -0.66
     Arabian
    -0.65
     Confederation
    -0.65
     Compliance
    -0.64
     intimate
    -0.64
     FISA
    -0.64
    POSITIVE LOGITS
    bang
    1.36
    inducing
    1.36
    eyed
    1.25
    shit
    1.24
    talking
    1.24
    factor
    1.24
    loving
    1.22
    fest
    1.21
    dropping
    1.20
    wagon
    1.20
    Activations Density 0.077%

    No Known Activations