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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. 24112
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    Explanations

    specific instances of something being highlighted or emphasized, often in relation to different contexts or entities

    oai_token-act-pair · gpt-3.5-turbo

    the definite article "the" used in various contexts

    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
    *
    -0.68
    cture
    -0.68
    leeve
    -0.68
     and
    -0.66
    IFA
    -0.66
    Ò
    -0.66
    oken
    -0.66
    Slot
    -0.65
    Iterator
    -0.65
    click
    -0.64
    POSITIVE LOGITS
     ensuing
    1.30
     resultant
    1.21
     resulting
    1.14
     accompanying
    1.13
     remainder
    1.10
     vast
    1.08
     consequ
    1.08
     slightest
    1.05
     latter
    1.04
    ses
    1.03
    Activations Density 0.256%

    No Known Activations