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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. 11195
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    Explanations

    expressions related to making an effort or attempting something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to efforts and attempts to achieve a goal

    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
     Gloves
    -0.65
     Errors
    -0.65
     Lawn
    -0.64
     Aux
    -0.63
     Commands
    -0.62
     Machines
    -0.61
     Wolves
    -0.61
     Sear
    -0.61
     Tomb
    -0.60
     Wer
    -0.60
    POSITIVE LOGITS
     escape
    0.80
     preserve
    0.74
     reversal
    0.74
     solving
    0.73
     regain
    0.72
     preserving
    0.72
    ãĤ·ãĥ£
    0.72
     avoiding
    0.71
     appease
    0.71
     maximize
    0.71
    Activations Density 0.069%

    No Known Activations