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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 16286
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    Explanations

    mentions of places or areas within a specific location such as a building

    oai_token-act-pair · gpt-3.5-turbo

    mentions of lobby groups and their activities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    orah
    -0.82
     Apostles
    -0.71
    ndra
    -0.71
    arers
    -0.68
     Crus
    -0.68
    vous
    -0.65
    âĵĺ
    -0.64
    resp
    -0.64
     Surviv
    -0.64
    nia
    -0.64
    POSITIVE LOGITS
     lobb
    1.24
     lobby
    1.18
     Lobby
    0.99
    naires
    0.79
    uese
    0.77
     halls
    0.77
    ounge
    0.76
    creen
    0.75
     droid
    0.74
    ertodd
    0.72
    Activations Density 0.007%

    No Known Activations