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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. 1-RES-JB
    11. 426
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    Explanations

    phrases related to file attachments

    oai_token-act-pair · gpt-3.5-turbo

    words related to attachments and connecting elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Cola
    -0.79
    floor
    -0.66
    Ô
    -0.66
    paces
    -0.66
     Doe
    -0.65
    baum
    -0.65
    externalActionCode
    -0.64
    amples
    -0.61
    oses
    -0.61
    Eth
    -0.60
    POSITIVE LOGITS
     attachment
    1.18
     attach
    1.10
     detach
    1.02
     attachments
    1.01
    Attach
    0.88
    attach
    0.88
     attaches
    0.87
    ables
    0.84
    achment
    0.83
    ability
    0.82
    Activations Density 0.010%

    No Known Activations