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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. 6-RES-JB
    11. 18745
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    Explanations

    phrases involving actions and details about a person referred to as 'He'

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.65
    Temperature
    -0.61
     affiliate
    -0.57
     Mandatory
    -0.57
    anyl
    -0.56
    NAT
    -0.56
     pregn
    -0.55
     Gems
    -0.54
    "}],"
    -0.54
     totality
    -0.54
    POSITIVE LOGITS
    zbollah
    1.38
    resy
    1.35
    gemony
    1.12
    'll
    1.10
    ldon
    1.06
    pherd
    1.06
    avier
    1.02
    aven
    1.01
    idi
    1.01
    reditary
    1.00
    Activations Density 0.189%

    No Known Activations