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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. 0-RES-JB
    11. 13960
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    Explanations

    words related to physical movements, particularly jumps

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "jumps" and variations of "bu" along with references to mobile concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.76
     lender
    -0.75
     Celt
    -0.74
     ende
    -0.73
    older
    -0.71
    WF
    -0.69
    Tang
    -0.69
    inventoryQuantity
    -0.69
     Ezek
    -0.68
     sacrific
    -0.67
    POSITIVE LOGITS
     jumps
    2.10
     bu
    1.76
    mobile
    1.14
    rooms
    1.09
     Yuk
    1.06
     buggy
    1.03
    ussian
    0.84
    999
    0.82
     polyg
    0.80
     squares
    0.77
    Activations Density 0.040%

    No Known Activations