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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. 10365
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    Explanations

    mentions of the word "Dim" with decreasing intensities for various forms of the word

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of the term "Dim" or variations of it

    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
    CRIP
    -0.84
    FUL
    -0.80
    OUP
    -0.78
    ciating
    -0.77
    REDACTED
    -0.74
    GROUND
    -0.73
    CLASS
    -0.72
    ORED
    -0.72
    çĦ
    -0.72
    ALLY
    -0.71
    POSITIVE LOGITS
    inished
    1.63
    itri
    1.31
    ensions
    1.17
    ethy
    1.17
    ension
    1.08
    ples
    0.97
    dim
    0.95
    endum
    0.93
    ming
    0.91
    anian
    0.88
    Activations Density 0.008%

    No Known Activations