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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. 21411
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    Explanations

    expressions related to exploring, experimenting, or interacting with something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "with" and its variations in contexts involving interactions or associations

    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
    gio
    -0.83
    nery
    -0.67
     [+
    -0.67
     SHARES
    -0.63
    FY
    -0.62
    ħ
    -0.61
    jandro
    -0.61
    vt
    -0.61
    United
    -0.61
    ublic
    -0.60
    POSITIVE LOGITS
     toys
    0.84
     metaphors
    0.82
    osterone
    0.81
     dolls
    0.78
    è¦ļéĨĴ
    0.74
    chairs
    0.72
     hormones
    0.72
    ãĤ¨ãĥ«
    0.71
     realism
    0.70
     mice
    0.70
    Activations Density 0.104%

    No Known Activations