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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. 4-RES-JB
    11. 6499
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    Explanations

    phrases related to achieving success or completing a task

    oai_token-act-pair · gpt-3.5-turbo

    words related to physical actions or states involving attachment or connection

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

    No Comments

    Negative Logits
    Reviewer
    -1.02
     Barclays
    -0.82
    iquid
    -0.77
    inals
    -0.76
     Palestin
    -0.71
    govtrack
    -0.70
    dylib
    -0.69
     contrace
    -0.66
    atively
    -0.66
    DEF
    -0.64
    POSITIVE LOGITS
    uled
    1.03
    ocobo
    0.81
    uler
    0.81
    lish
    0.80
    rod
    0.76
    dragon
    0.74
    loe
    0.74
    apeake
    0.74
    ambers
    0.73
    bones
    0.72
    Activations Density 0.019%

    No Known Activations