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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. 1-RES-JB
    11. 453
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    Explanations

    specific mentions of a location or entity linked to education or production

    oai_token-act-pair · gpt-3.5-turbo

    words associated with distilleries and religious seminaries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abe
    -0.81
    Dur
    -0.81
     behav
    -0.76
    ãģĨ
    -0.70
    cases
    -0.69
    song
    -0.69
    ikuman
    -0.67
    icular
    -0.67
    meet
    -0.67
    ethe
    -0.67
    POSITIVE LOGITS
     Optical
    0.67
     Princ
    0.67
     Greenwich
    0.66
    ellow
    0.66
     Goat
    0.65
    illery
    0.65
    ttp
    0.65
     Extras
    0.65
     Nose
    0.64
     Coffin
    0.64
    Activations Density 0.045%

    No Known Activations