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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
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    Explanations

    ,"Barn" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Barn" in various contexts

    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
    ffic
    -0.73
    stanbul
    -0.72
     regret
    -0.71
    FORMATION
    -0.71
    ctors
    -0.64
    EP
    -0.62
    ICT
    -0.61
    ittee
    -0.60
    EEE
    -0.60
    aneous
    -0.60
    POSITIVE LOGITS
    aby
    1.28
    acle
    1.20
     Barn
    1.15
    acles
    1.15
    owitz
    1.00
    ues
    0.98
    azz
    0.97
    Barn
    0.96
    abal
    0.93
    yard
    0.92
    Activations Density 0.009%

    No Known Activations