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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. 20424
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    Explanations

    mentions of the word "Dim" in the text

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "Dim" along with related context

    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
    OUP
    -0.79
    CRIP
    -0.78
    hips
    -0.78
    REDACTED
    -0.77
    GROUND
    -0.75
    OAD
    -0.75
    FUL
    -0.75
    FTWARE
    -0.74
    OHN
    -0.73
    ciating
    -0.73
    POSITIVE LOGITS
    inished
    1.60
    itri
    1.23
    ensions
    1.13
    ension
    1.07
    ethy
    1.05
    anche
    0.92
    ples
    0.90
    ming
    0.90
    endum
    0.89
    anian
    0.89
    Activations Density 0.010%

    No Known Activations