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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. 23430
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    Explanations

    the word "helping to" followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the purpose or intention of actions

    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
     Notting
    -0.67
     Canary
    -0.66
     Sparrow
    -0.65
    ModLoader
    -0.64
     Goth
    -0.64
     faults
    -0.63
     Procedure
    -0.62
     POV
    -0.61
     Ferr
    -0.61
     Spaces
    -0.60
    POSITIVE LOGITS
     strengthen
    1.25
     alleviate
    1.24
     establish
    1.24
     relieve
    1.20
     amplify
    1.17
     promote
    1.16
     clarify
    1.16
     organize
    1.16
     facilitate
    1.16
     create
    1.15
    Activations Density 0.086%

    No Known Activations