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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. 7-RES-JB
    11. 21259
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    Explanations

    phrases related to different kinds of prices (housing, gas, book, etc.)

    oai_token-act-pair · gpt-3.5-turbo

    references to various market prices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lich
    -0.76
    less
    -0.72
    iverse
    -0.68
     Galile
    -0.66
    ful
    -0.65
    KNOWN
    -0.65
     germ
    -0.63
     Nost
    -0.62
    ALLY
    -0.62
    JECT
    -0.62
    POSITIVE LOGITS
    cape
    1.33
    paces
    1.30
    heet
    1.27
    pring
    1.23
    poons
    1.19
    cale
    1.19
    pace
    1.16
    hare
    1.15
    omething
    1.10
    mith
    1.07
    Activations Density 0.167%

    No Known Activations