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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. 2-RES-JB
    11. 13383
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    Explanations

    words or phrases related to continuation or progression

    oai_token-act-pair · gpt-3.5-turbo

    words related to memory and recognition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     dispers
    -0.66
     Shards
    -0.65
     oy
    -0.64
    renheit
    -0.64
     provisional
    -0.63
     absent
    -0.63
     lob
    -0.61
     ILCS
    -0.61
    osponsors
    -0.61
     implants
    -0.61
    POSITIVE LOGITS
    ues
    1.15
    ued
    1.09
    uing
    0.97
    hift
    0.91
    eer
    0.88
    uer
    0.86
    chel
    0.86
    ences
    0.86
    ilver
    0.83
    itionally
    0.83
    Activations Density 0.010%

    No Known Activations