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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. 4739
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    Explanations

    names of notable figures or entities along with verbs

    oai_token-act-pair · gpt-3.5-turbo

    references to significant political figures and their actions

    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
    Materials
    -0.92
    Installation
    -0.82
    omever
    -0.72
    AMI
    -0.71
    images
    -0.70
    approximately
    -0.70
    LOC
    -0.69
    since
    -0.69
    Additional
    -0.68
    âĶĢ
    -0.68
    POSITIVE LOGITS
     beware
    1.09
     losers
    0.92
     sucks
    0.92
     Dems
    0.90
     Beware
    0.88
     stink
    0.87
     Wrong
    0.86
     doomed
    0.85
     Worse
    0.84
     Replay
    0.84
    Activations Density 0.470%

    No Known Activations