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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. 7-RES-JB
    11. 14268
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    Explanations

    efforts or attempts to achieve a goal or complete an action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating efforts or attempts to achieve something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Torn
    -0.79
     Aux
    -0.66
     Commands
    -0.64
    assets
    -0.64
    Pict
    -0.63
     Issues
    -0.62
     Fernand
    -0.61
     Cust
    -0.60
     Lawn
    -0.59
    tis
    -0.59
    POSITIVE LOGITS
    PsyNetMessage
    0.79
    ãĤ·ãĥ£
    0.75
    opian
    0.75
    wark
    0.74
    puter
    0.73
    onement
    0.72
     promoting
    0.69
     reversal
    0.69
    agy
    0.67
    escape
    0.67
    Activations Density 0.043%

    No Known Activations