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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. 3-RES-JB
    11. 16772
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    INDEX
    Explanations

    the word "medium" used in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Merch
    -0.77
    IGHTS
    -0.73
    Discussion
    -0.71
    idel
    -0.69
    çľ
    -0.65
    âĨij
    -0.65
    PRES
    -0.64
    ADRA
    -0.64
    UX
    -0.64
    apons
    -0.62
    POSITIVE LOGITS
     medium
    0.98
    medium
    0.89
    ship
    0.85
    weights
    0.84
     sized
    0.81
    weight
    0.77
     bearer
    0.75
    -,
    0.74
    ial
    0.71
     ILCS
    0.71
    Activations Density 0.008%

    No Known Activations